Upload folder using huggingface_hub
Browse files- ft_7b_NLSY97_numeric_ckpt_bo5/config.json +31 -0
- ft_7b_NLSY97_numeric_ckpt_bo5/generation_config.json +10 -0
- ft_7b_NLSY97_numeric_ckpt_bo5/model-00001-of-00006.safetensors +3 -0
- ft_7b_NLSY97_numeric_ckpt_bo5/model-00002-of-00006.safetensors +3 -0
- ft_7b_NLSY97_numeric_ckpt_bo5/model-00003-of-00006.safetensors +3 -0
- ft_7b_NLSY97_numeric_ckpt_bo5/model-00004-of-00006.safetensors +3 -0
- ft_7b_NLSY97_numeric_ckpt_bo5/model-00005-of-00006.safetensors +3 -0
- ft_7b_NLSY97_numeric_ckpt_bo5/model-00006-of-00006.safetensors +3 -0
- ft_7b_NLSY97_numeric_ckpt_bo5/model.safetensors.index.json +298 -0
- ft_7b_NLSY97_numeric_ckpt_bo5/special_tokens_map.json +30 -0
- ft_7b_NLSY97_numeric_ckpt_bo5/tokenizer.json +0 -0
- ft_7b_NLSY97_numeric_ckpt_bo5/tokenizer_config.json +52 -0
- ft_7b_NLSY97_numeric_ckpt_bo5/trainer_state.json +668 -0
ft_7b_NLSY97_numeric_ckpt_bo5/config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "togethercomputer/llama-2-7b",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 1,
|
| 9 |
+
"eos_token_id": 2,
|
| 10 |
+
"head_dim": 128,
|
| 11 |
+
"hidden_act": "silu",
|
| 12 |
+
"hidden_size": 4096,
|
| 13 |
+
"initializer_range": 0.02,
|
| 14 |
+
"intermediate_size": 11008,
|
| 15 |
+
"max_position_embeddings": 4096,
|
| 16 |
+
"mlp_bias": false,
|
| 17 |
+
"model_type": "llama",
|
| 18 |
+
"num_attention_heads": 32,
|
| 19 |
+
"num_hidden_layers": 32,
|
| 20 |
+
"num_key_value_heads": 32,
|
| 21 |
+
"pad_token_id": 0,
|
| 22 |
+
"pretraining_tp": 1,
|
| 23 |
+
"rms_norm_eps": 1e-05,
|
| 24 |
+
"rope_scaling": null,
|
| 25 |
+
"rope_theta": 10000.0,
|
| 26 |
+
"tie_word_embeddings": false,
|
| 27 |
+
"torch_dtype": "float32",
|
| 28 |
+
"transformers_version": "4.45.1",
|
| 29 |
+
"use_cache": false,
|
| 30 |
+
"vocab_size": 32000
|
| 31 |
+
}
|
ft_7b_NLSY97_numeric_ckpt_bo5/generation_config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 1,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"max_length": 4096,
|
| 6 |
+
"pad_token_id": 32000,
|
| 7 |
+
"temperature": 0.6,
|
| 8 |
+
"top_p": 0.9,
|
| 9 |
+
"transformers_version": "4.45.1"
|
| 10 |
+
}
|
ft_7b_NLSY97_numeric_ckpt_bo5/model-00001-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1c0c42e75169b7054beb2d812998e2a975f7c15f1a279f6e2771bb9630e19bec
|
| 3 |
+
size 4840396416
|
ft_7b_NLSY97_numeric_ckpt_bo5/model-00002-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:919db519ace8c570e81bc24797b64f1b02edbe9cd6d2e2ff2cc684b170a17428
|
| 3 |
+
size 4857206856
|
ft_7b_NLSY97_numeric_ckpt_bo5/model-00003-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:870e4208762aa543b6278fed6d95fd7f9a00d65ef3ace809defc7715a82065ea
|
| 3 |
+
size 4857206904
|
ft_7b_NLSY97_numeric_ckpt_bo5/model-00004-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6878b1f43cc2e1864d133e31e753e235f808765680c245b9075920788842fe25
|
| 3 |
+
size 4857206904
|
ft_7b_NLSY97_numeric_ckpt_bo5/model-00005-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:19e915cedea12258ac3dc656cec294aae777fc4a1ae1a1e719bcc781ec72a4db
|
| 3 |
+
size 4857206904
|
ft_7b_NLSY97_numeric_ckpt_bo5/model-00006-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45d6f48de7ecc556d8e8759aa48745045279cba882df9c16b50da132a73eb392
|
| 3 |
+
size 2684472112
|
ft_7b_NLSY97_numeric_ckpt_bo5/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 26953662464
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00006-of-00006.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 35 |
+
"model.layers.11.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 44 |
+
"model.layers.12.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 53 |
+
"model.layers.13.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 62 |
+
"model.layers.14.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 71 |
+
"model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 80 |
+
"model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 89 |
+
"model.layers.17.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 98 |
+
"model.layers.18.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 107 |
+
"model.layers.19.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 125 |
+
"model.layers.20.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 134 |
+
"model.layers.21.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 143 |
+
"model.layers.22.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 152 |
+
"model.layers.23.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 161 |
+
"model.layers.24.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 170 |
+
"model.layers.25.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 179 |
+
"model.layers.26.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 188 |
+
"model.layers.27.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 197 |
+
"model.layers.28.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 206 |
+
"model.layers.29.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 224 |
+
"model.layers.30.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
| 230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
| 231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
| 232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
| 233 |
+
"model.layers.31.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
| 239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
| 240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
| 241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
| 242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 251 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 260 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 269 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 278 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 287 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 296 |
+
"model.norm.weight": "model-00006-of-00006.safetensors"
|
| 297 |
+
}
|
| 298 |
+
}
|
ft_7b_NLSY97_numeric_ckpt_bo5/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<unk>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": true,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
ft_7b_NLSY97_numeric_ckpt_bo5/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
ft_7b_NLSY97_numeric_ckpt_bo5/tokenizer_config.json
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": true,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": true,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": true,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"32000": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
+
"lstrip": true,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": true,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": false
|
| 37 |
+
}
|
| 38 |
+
},
|
| 39 |
+
"additional_special_tokens": [],
|
| 40 |
+
"bos_token": "<s>",
|
| 41 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' or message['role'] == 'tool' %}{{ bos_token + '[INST] ' + content + ' [/INST]' }}{% elif message['role'] == 'system' %}{{ '<<SYS>>\\n' + content + '\\n<</SYS>>\\n\\n' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content + ' ' + eos_token }}{% endif %}{% endfor %}",
|
| 42 |
+
"clean_up_tokenization_spaces": false,
|
| 43 |
+
"eos_token": "</s>",
|
| 44 |
+
"legacy": false,
|
| 45 |
+
"model_max_length": 4096,
|
| 46 |
+
"pad_token": "<unk>",
|
| 47 |
+
"padding_side": "right",
|
| 48 |
+
"sp_model_kwargs": {},
|
| 49 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 50 |
+
"unk_token": "<unk>",
|
| 51 |
+
"use_default_system_prompt": true
|
| 52 |
+
}
|
ft_7b_NLSY97_numeric_ckpt_bo5/trainer_state.json
ADDED
|
@@ -0,0 +1,668 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
+
"eval_steps": 17,
|
| 6 |
+
"global_step": 85,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.058823529411764705,
|
| 13 |
+
"grad_norm": 12.930320739746094,
|
| 14 |
+
"learning_rate": 9.882352941176472e-06,
|
| 15 |
+
"loss": 1.1193,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.11764705882352941,
|
| 20 |
+
"grad_norm": 6.750919818878174,
|
| 21 |
+
"learning_rate": 9.764705882352942e-06,
|
| 22 |
+
"loss": 0.8447,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.17647058823529413,
|
| 27 |
+
"grad_norm": 6.0184149742126465,
|
| 28 |
+
"learning_rate": 9.647058823529412e-06,
|
| 29 |
+
"loss": 0.5266,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.23529411764705882,
|
| 34 |
+
"grad_norm": 7.928645610809326,
|
| 35 |
+
"learning_rate": 9.529411764705882e-06,
|
| 36 |
+
"loss": 0.3803,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.29411764705882354,
|
| 41 |
+
"grad_norm": 5.6955156326293945,
|
| 42 |
+
"learning_rate": 9.411764705882354e-06,
|
| 43 |
+
"loss": 0.2486,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.35294117647058826,
|
| 48 |
+
"grad_norm": 6.736827373504639,
|
| 49 |
+
"learning_rate": 9.294117647058824e-06,
|
| 50 |
+
"loss": 0.213,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.4117647058823529,
|
| 55 |
+
"grad_norm": 2.5409047603607178,
|
| 56 |
+
"learning_rate": 9.176470588235294e-06,
|
| 57 |
+
"loss": 0.1947,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.47058823529411764,
|
| 62 |
+
"grad_norm": 1.375417709350586,
|
| 63 |
+
"learning_rate": 9.058823529411765e-06,
|
| 64 |
+
"loss": 0.1742,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.5294117647058824,
|
| 69 |
+
"grad_norm": 0.9182175397872925,
|
| 70 |
+
"learning_rate": 8.941176470588237e-06,
|
| 71 |
+
"loss": 0.1621,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.5882352941176471,
|
| 76 |
+
"grad_norm": 0.7118879556655884,
|
| 77 |
+
"learning_rate": 8.823529411764707e-06,
|
| 78 |
+
"loss": 0.1573,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.6470588235294118,
|
| 83 |
+
"grad_norm": 0.5328735709190369,
|
| 84 |
+
"learning_rate": 8.705882352941177e-06,
|
| 85 |
+
"loss": 0.1563,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.7058823529411765,
|
| 90 |
+
"grad_norm": 0.5489645004272461,
|
| 91 |
+
"learning_rate": 8.588235294117647e-06,
|
| 92 |
+
"loss": 0.1471,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.7647058823529411,
|
| 97 |
+
"grad_norm": 0.30653923749923706,
|
| 98 |
+
"learning_rate": 8.470588235294118e-06,
|
| 99 |
+
"loss": 0.1539,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.8235294117647058,
|
| 104 |
+
"grad_norm": 0.29091715812683105,
|
| 105 |
+
"learning_rate": 8.35294117647059e-06,
|
| 106 |
+
"loss": 0.1479,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.8823529411764706,
|
| 111 |
+
"grad_norm": 0.2531489133834839,
|
| 112 |
+
"learning_rate": 8.23529411764706e-06,
|
| 113 |
+
"loss": 0.143,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.9411764705882353,
|
| 118 |
+
"grad_norm": 0.3365638554096222,
|
| 119 |
+
"learning_rate": 8.11764705882353e-06,
|
| 120 |
+
"loss": 0.1436,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 1.0,
|
| 125 |
+
"grad_norm": 0.20792371034622192,
|
| 126 |
+
"learning_rate": 8.000000000000001e-06,
|
| 127 |
+
"loss": 0.1418,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 1.0,
|
| 132 |
+
"eval_loss": 0.14182928204536438,
|
| 133 |
+
"eval_runtime": 1.6203,
|
| 134 |
+
"eval_samples_per_second": 47.521,
|
| 135 |
+
"eval_steps_per_second": 1.851,
|
| 136 |
+
"step": 17
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 1.0588235294117647,
|
| 140 |
+
"grad_norm": 0.2669135332107544,
|
| 141 |
+
"learning_rate": 7.882352941176471e-06,
|
| 142 |
+
"loss": 0.144,
|
| 143 |
+
"step": 18
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 1.1176470588235294,
|
| 147 |
+
"grad_norm": 0.2377055138349533,
|
| 148 |
+
"learning_rate": 7.764705882352941e-06,
|
| 149 |
+
"loss": 0.1406,
|
| 150 |
+
"step": 19
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 1.1764705882352942,
|
| 154 |
+
"grad_norm": 0.33903852105140686,
|
| 155 |
+
"learning_rate": 7.647058823529411e-06,
|
| 156 |
+
"loss": 0.1336,
|
| 157 |
+
"step": 20
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 1.2352941176470589,
|
| 161 |
+
"grad_norm": 0.25684112310409546,
|
| 162 |
+
"learning_rate": 7.529411764705883e-06,
|
| 163 |
+
"loss": 0.1382,
|
| 164 |
+
"step": 21
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 1.2941176470588236,
|
| 168 |
+
"grad_norm": 0.4274250268936157,
|
| 169 |
+
"learning_rate": 7.4117647058823535e-06,
|
| 170 |
+
"loss": 0.1333,
|
| 171 |
+
"step": 22
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 1.3529411764705883,
|
| 175 |
+
"grad_norm": 0.28185540437698364,
|
| 176 |
+
"learning_rate": 7.294117647058823e-06,
|
| 177 |
+
"loss": 0.1391,
|
| 178 |
+
"step": 23
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 1.4117647058823528,
|
| 182 |
+
"grad_norm": 0.3826560378074646,
|
| 183 |
+
"learning_rate": 7.176470588235295e-06,
|
| 184 |
+
"loss": 0.1307,
|
| 185 |
+
"step": 24
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 1.4705882352941178,
|
| 189 |
+
"grad_norm": 0.3587256968021393,
|
| 190 |
+
"learning_rate": 7.058823529411766e-06,
|
| 191 |
+
"loss": 0.1365,
|
| 192 |
+
"step": 25
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 1.5294117647058822,
|
| 196 |
+
"grad_norm": 0.35538923740386963,
|
| 197 |
+
"learning_rate": 6.941176470588236e-06,
|
| 198 |
+
"loss": 0.1308,
|
| 199 |
+
"step": 26
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 1.5882352941176472,
|
| 203 |
+
"grad_norm": 0.39220380783081055,
|
| 204 |
+
"learning_rate": 6.8235294117647065e-06,
|
| 205 |
+
"loss": 0.1344,
|
| 206 |
+
"step": 27
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 1.6470588235294117,
|
| 210 |
+
"grad_norm": 0.24266788363456726,
|
| 211 |
+
"learning_rate": 6.705882352941176e-06,
|
| 212 |
+
"loss": 0.1364,
|
| 213 |
+
"step": 28
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 1.7058823529411766,
|
| 217 |
+
"grad_norm": 0.3365913927555084,
|
| 218 |
+
"learning_rate": 6.588235294117647e-06,
|
| 219 |
+
"loss": 0.129,
|
| 220 |
+
"step": 29
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 1.7647058823529411,
|
| 224 |
+
"grad_norm": 0.23661571741104126,
|
| 225 |
+
"learning_rate": 6.470588235294119e-06,
|
| 226 |
+
"loss": 0.1298,
|
| 227 |
+
"step": 30
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.8235294117647058,
|
| 231 |
+
"grad_norm": 0.3883364498615265,
|
| 232 |
+
"learning_rate": 6.352941176470589e-06,
|
| 233 |
+
"loss": 0.1306,
|
| 234 |
+
"step": 31
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 1.8823529411764706,
|
| 238 |
+
"grad_norm": 0.15963129699230194,
|
| 239 |
+
"learning_rate": 6.2352941176470595e-06,
|
| 240 |
+
"loss": 0.1373,
|
| 241 |
+
"step": 32
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 1.9411764705882353,
|
| 245 |
+
"grad_norm": 0.3387947380542755,
|
| 246 |
+
"learning_rate": 6.11764705882353e-06,
|
| 247 |
+
"loss": 0.1336,
|
| 248 |
+
"step": 33
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 2.0,
|
| 252 |
+
"grad_norm": 0.17741385102272034,
|
| 253 |
+
"learning_rate": 6e-06,
|
| 254 |
+
"loss": 0.1298,
|
| 255 |
+
"step": 34
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 2.0,
|
| 259 |
+
"eval_loss": 0.1329335868358612,
|
| 260 |
+
"eval_runtime": 1.6667,
|
| 261 |
+
"eval_samples_per_second": 46.199,
|
| 262 |
+
"eval_steps_per_second": 1.8,
|
| 263 |
+
"step": 34
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 2.0588235294117645,
|
| 267 |
+
"grad_norm": 0.23306693136692047,
|
| 268 |
+
"learning_rate": 5.882352941176471e-06,
|
| 269 |
+
"loss": 0.1285,
|
| 270 |
+
"step": 35
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 2.1176470588235294,
|
| 274 |
+
"grad_norm": 0.20371243357658386,
|
| 275 |
+
"learning_rate": 5.764705882352941e-06,
|
| 276 |
+
"loss": 0.1306,
|
| 277 |
+
"step": 36
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 2.176470588235294,
|
| 281 |
+
"grad_norm": 0.2297767996788025,
|
| 282 |
+
"learning_rate": 5.6470588235294125e-06,
|
| 283 |
+
"loss": 0.1292,
|
| 284 |
+
"step": 37
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 2.235294117647059,
|
| 288 |
+
"grad_norm": 0.2018202394247055,
|
| 289 |
+
"learning_rate": 5.529411764705883e-06,
|
| 290 |
+
"loss": 0.132,
|
| 291 |
+
"step": 38
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 2.2941176470588234,
|
| 295 |
+
"grad_norm": 0.230118066072464,
|
| 296 |
+
"learning_rate": 5.411764705882353e-06,
|
| 297 |
+
"loss": 0.1319,
|
| 298 |
+
"step": 39
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 2.3529411764705883,
|
| 302 |
+
"grad_norm": 0.18205802142620087,
|
| 303 |
+
"learning_rate": 5.294117647058824e-06,
|
| 304 |
+
"loss": 0.1314,
|
| 305 |
+
"step": 40
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 2.411764705882353,
|
| 309 |
+
"grad_norm": 0.12206406146287918,
|
| 310 |
+
"learning_rate": 5.176470588235295e-06,
|
| 311 |
+
"loss": 0.1293,
|
| 312 |
+
"step": 41
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 2.4705882352941178,
|
| 316 |
+
"grad_norm": 0.21060916781425476,
|
| 317 |
+
"learning_rate": 5.058823529411765e-06,
|
| 318 |
+
"loss": 0.1312,
|
| 319 |
+
"step": 42
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 2.5294117647058822,
|
| 323 |
+
"grad_norm": 0.19026517868041992,
|
| 324 |
+
"learning_rate": 4.941176470588236e-06,
|
| 325 |
+
"loss": 0.1288,
|
| 326 |
+
"step": 43
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 2.588235294117647,
|
| 330 |
+
"grad_norm": 0.23302718997001648,
|
| 331 |
+
"learning_rate": 4.823529411764706e-06,
|
| 332 |
+
"loss": 0.1293,
|
| 333 |
+
"step": 44
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 2.6470588235294117,
|
| 337 |
+
"grad_norm": 0.14621809124946594,
|
| 338 |
+
"learning_rate": 4.705882352941177e-06,
|
| 339 |
+
"loss": 0.1215,
|
| 340 |
+
"step": 45
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 2.7058823529411766,
|
| 344 |
+
"grad_norm": 0.12860628962516785,
|
| 345 |
+
"learning_rate": 4.588235294117647e-06,
|
| 346 |
+
"loss": 0.1235,
|
| 347 |
+
"step": 46
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 2.764705882352941,
|
| 351 |
+
"grad_norm": 0.22921116650104523,
|
| 352 |
+
"learning_rate": 4.4705882352941184e-06,
|
| 353 |
+
"loss": 0.1282,
|
| 354 |
+
"step": 47
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 2.8235294117647056,
|
| 358 |
+
"grad_norm": 0.21150174736976624,
|
| 359 |
+
"learning_rate": 4.352941176470588e-06,
|
| 360 |
+
"loss": 0.1336,
|
| 361 |
+
"step": 48
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 2.8823529411764706,
|
| 365 |
+
"grad_norm": 0.14852631092071533,
|
| 366 |
+
"learning_rate": 4.235294117647059e-06,
|
| 367 |
+
"loss": 0.1288,
|
| 368 |
+
"step": 49
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 2.9411764705882355,
|
| 372 |
+
"grad_norm": 0.2322787493467331,
|
| 373 |
+
"learning_rate": 4.11764705882353e-06,
|
| 374 |
+
"loss": 0.1315,
|
| 375 |
+
"step": 50
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 3.0,
|
| 379 |
+
"grad_norm": 0.20680484175682068,
|
| 380 |
+
"learning_rate": 4.000000000000001e-06,
|
| 381 |
+
"loss": 0.1271,
|
| 382 |
+
"step": 51
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 3.0,
|
| 386 |
+
"eval_loss": 0.13050375878810883,
|
| 387 |
+
"eval_runtime": 1.7109,
|
| 388 |
+
"eval_samples_per_second": 45.006,
|
| 389 |
+
"eval_steps_per_second": 1.753,
|
| 390 |
+
"step": 51
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 3.0588235294117645,
|
| 394 |
+
"grad_norm": 0.2423618584871292,
|
| 395 |
+
"learning_rate": 3.882352941176471e-06,
|
| 396 |
+
"loss": 0.1267,
|
| 397 |
+
"step": 52
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 3.1176470588235294,
|
| 401 |
+
"grad_norm": 0.15684513747692108,
|
| 402 |
+
"learning_rate": 3.7647058823529414e-06,
|
| 403 |
+
"loss": 0.1271,
|
| 404 |
+
"step": 53
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 3.176470588235294,
|
| 408 |
+
"grad_norm": 0.17888614535331726,
|
| 409 |
+
"learning_rate": 3.6470588235294117e-06,
|
| 410 |
+
"loss": 0.1292,
|
| 411 |
+
"step": 54
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 3.235294117647059,
|
| 415 |
+
"grad_norm": 0.1872224360704422,
|
| 416 |
+
"learning_rate": 3.529411764705883e-06,
|
| 417 |
+
"loss": 0.1265,
|
| 418 |
+
"step": 55
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 3.2941176470588234,
|
| 422 |
+
"grad_norm": 0.18106265366077423,
|
| 423 |
+
"learning_rate": 3.4117647058823532e-06,
|
| 424 |
+
"loss": 0.125,
|
| 425 |
+
"step": 56
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 3.3529411764705883,
|
| 429 |
+
"grad_norm": 0.16410322487354279,
|
| 430 |
+
"learning_rate": 3.2941176470588236e-06,
|
| 431 |
+
"loss": 0.1247,
|
| 432 |
+
"step": 57
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 3.411764705882353,
|
| 436 |
+
"grad_norm": 0.14523057639598846,
|
| 437 |
+
"learning_rate": 3.1764705882352943e-06,
|
| 438 |
+
"loss": 0.1293,
|
| 439 |
+
"step": 58
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 3.4705882352941178,
|
| 443 |
+
"grad_norm": 0.14566871523857117,
|
| 444 |
+
"learning_rate": 3.058823529411765e-06,
|
| 445 |
+
"loss": 0.1229,
|
| 446 |
+
"step": 59
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 3.5294117647058822,
|
| 450 |
+
"grad_norm": 0.17588646709918976,
|
| 451 |
+
"learning_rate": 2.9411764705882355e-06,
|
| 452 |
+
"loss": 0.1293,
|
| 453 |
+
"step": 60
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 3.588235294117647,
|
| 457 |
+
"grad_norm": 0.16981141269207,
|
| 458 |
+
"learning_rate": 2.8235294117647062e-06,
|
| 459 |
+
"loss": 0.127,
|
| 460 |
+
"step": 61
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 3.6470588235294117,
|
| 464 |
+
"grad_norm": 0.13811074197292328,
|
| 465 |
+
"learning_rate": 2.7058823529411766e-06,
|
| 466 |
+
"loss": 0.1274,
|
| 467 |
+
"step": 62
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 3.7058823529411766,
|
| 471 |
+
"grad_norm": 0.11759057641029358,
|
| 472 |
+
"learning_rate": 2.5882352941176473e-06,
|
| 473 |
+
"loss": 0.1246,
|
| 474 |
+
"step": 63
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 3.764705882352941,
|
| 478 |
+
"grad_norm": 0.1862180382013321,
|
| 479 |
+
"learning_rate": 2.470588235294118e-06,
|
| 480 |
+
"loss": 0.136,
|
| 481 |
+
"step": 64
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 3.8235294117647056,
|
| 485 |
+
"grad_norm": 0.14767520129680634,
|
| 486 |
+
"learning_rate": 2.3529411764705885e-06,
|
| 487 |
+
"loss": 0.126,
|
| 488 |
+
"step": 65
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 3.8823529411764706,
|
| 492 |
+
"grad_norm": 0.1449473798274994,
|
| 493 |
+
"learning_rate": 2.2352941176470592e-06,
|
| 494 |
+
"loss": 0.1233,
|
| 495 |
+
"step": 66
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 3.9411764705882355,
|
| 499 |
+
"grad_norm": 0.1184178814291954,
|
| 500 |
+
"learning_rate": 2.1176470588235296e-06,
|
| 501 |
+
"loss": 0.1263,
|
| 502 |
+
"step": 67
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"epoch": 4.0,
|
| 506 |
+
"grad_norm": 0.13197602331638336,
|
| 507 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 508 |
+
"loss": 0.1254,
|
| 509 |
+
"step": 68
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 4.0,
|
| 513 |
+
"eval_loss": 0.12875893712043762,
|
| 514 |
+
"eval_runtime": 1.7604,
|
| 515 |
+
"eval_samples_per_second": 43.741,
|
| 516 |
+
"eval_steps_per_second": 1.704,
|
| 517 |
+
"step": 68
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 4.0588235294117645,
|
| 521 |
+
"grad_norm": 0.13755379617214203,
|
| 522 |
+
"learning_rate": 1.8823529411764707e-06,
|
| 523 |
+
"loss": 0.1238,
|
| 524 |
+
"step": 69
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 4.117647058823529,
|
| 528 |
+
"grad_norm": 0.09173008054494858,
|
| 529 |
+
"learning_rate": 1.7647058823529414e-06,
|
| 530 |
+
"loss": 0.1267,
|
| 531 |
+
"step": 70
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 4.176470588235294,
|
| 535 |
+
"grad_norm": 0.16052384674549103,
|
| 536 |
+
"learning_rate": 1.6470588235294118e-06,
|
| 537 |
+
"loss": 0.1238,
|
| 538 |
+
"step": 71
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 4.235294117647059,
|
| 542 |
+
"grad_norm": 0.11233089119195938,
|
| 543 |
+
"learning_rate": 1.5294117647058826e-06,
|
| 544 |
+
"loss": 0.1277,
|
| 545 |
+
"step": 72
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 4.294117647058823,
|
| 549 |
+
"grad_norm": 0.10879813879728317,
|
| 550 |
+
"learning_rate": 1.4117647058823531e-06,
|
| 551 |
+
"loss": 0.1239,
|
| 552 |
+
"step": 73
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 4.352941176470588,
|
| 556 |
+
"grad_norm": 0.14366036653518677,
|
| 557 |
+
"learning_rate": 1.2941176470588237e-06,
|
| 558 |
+
"loss": 0.1279,
|
| 559 |
+
"step": 74
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 4.411764705882353,
|
| 563 |
+
"grad_norm": 0.15720945596694946,
|
| 564 |
+
"learning_rate": 1.1764705882352942e-06,
|
| 565 |
+
"loss": 0.1257,
|
| 566 |
+
"step": 75
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 4.470588235294118,
|
| 570 |
+
"grad_norm": 0.111957848072052,
|
| 571 |
+
"learning_rate": 1.0588235294117648e-06,
|
| 572 |
+
"loss": 0.1272,
|
| 573 |
+
"step": 76
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 4.529411764705882,
|
| 577 |
+
"grad_norm": 0.10795588046312332,
|
| 578 |
+
"learning_rate": 9.411764705882353e-07,
|
| 579 |
+
"loss": 0.1217,
|
| 580 |
+
"step": 77
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"epoch": 4.588235294117647,
|
| 584 |
+
"grad_norm": 0.13502325117588043,
|
| 585 |
+
"learning_rate": 8.235294117647059e-07,
|
| 586 |
+
"loss": 0.1264,
|
| 587 |
+
"step": 78
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 4.647058823529412,
|
| 591 |
+
"grad_norm": 0.19920289516448975,
|
| 592 |
+
"learning_rate": 7.058823529411766e-07,
|
| 593 |
+
"loss": 0.1264,
|
| 594 |
+
"step": 79
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 4.705882352941177,
|
| 598 |
+
"grad_norm": 0.11849205940961838,
|
| 599 |
+
"learning_rate": 5.882352941176471e-07,
|
| 600 |
+
"loss": 0.1333,
|
| 601 |
+
"step": 80
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 4.764705882352941,
|
| 605 |
+
"grad_norm": 0.11072594672441483,
|
| 606 |
+
"learning_rate": 4.7058823529411767e-07,
|
| 607 |
+
"loss": 0.1241,
|
| 608 |
+
"step": 81
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 4.823529411764706,
|
| 612 |
+
"grad_norm": 0.13145644962787628,
|
| 613 |
+
"learning_rate": 3.529411764705883e-07,
|
| 614 |
+
"loss": 0.1199,
|
| 615 |
+
"step": 82
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 4.882352941176471,
|
| 619 |
+
"grad_norm": 0.12302340567111969,
|
| 620 |
+
"learning_rate": 2.3529411764705883e-07,
|
| 621 |
+
"loss": 0.1245,
|
| 622 |
+
"step": 83
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 4.9411764705882355,
|
| 626 |
+
"grad_norm": 0.147792249917984,
|
| 627 |
+
"learning_rate": 1.1764705882352942e-07,
|
| 628 |
+
"loss": 0.1237,
|
| 629 |
+
"step": 84
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 5.0,
|
| 633 |
+
"grad_norm": 0.11199651658535004,
|
| 634 |
+
"learning_rate": 0.0,
|
| 635 |
+
"loss": 0.1218,
|
| 636 |
+
"step": 85
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 5.0,
|
| 640 |
+
"eval_loss": 0.12799321115016937,
|
| 641 |
+
"eval_runtime": 1.7984,
|
| 642 |
+
"eval_samples_per_second": 42.815,
|
| 643 |
+
"eval_steps_per_second": 1.668,
|
| 644 |
+
"step": 85
|
| 645 |
+
}
|
| 646 |
+
],
|
| 647 |
+
"logging_steps": 1.0,
|
| 648 |
+
"max_steps": 85,
|
| 649 |
+
"num_input_tokens_seen": 0,
|
| 650 |
+
"num_train_epochs": 5,
|
| 651 |
+
"save_steps": 17,
|
| 652 |
+
"stateful_callbacks": {
|
| 653 |
+
"TrainerControl": {
|
| 654 |
+
"args": {
|
| 655 |
+
"should_epoch_stop": false,
|
| 656 |
+
"should_evaluate": false,
|
| 657 |
+
"should_log": false,
|
| 658 |
+
"should_save": true,
|
| 659 |
+
"should_training_stop": true
|
| 660 |
+
},
|
| 661 |
+
"attributes": {}
|
| 662 |
+
}
|
| 663 |
+
},
|
| 664 |
+
"total_flos": 5.507088503537664e+16,
|
| 665 |
+
"train_batch_size": 4,
|
| 666 |
+
"trial_name": null,
|
| 667 |
+
"trial_params": null
|
| 668 |
+
}
|