Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- checkpoints-v5.7/checkpoint-11264/ema.safetensors +3 -0
- checkpoints-v5.7/checkpoint-11264/eval_state.json +3 -0
- checkpoints-v5.7/checkpoint-11264/model.safetensors +3 -0
- checkpoints-v5.7/checkpoint-11264/optimizer.pt +3 -0
- checkpoints-v5.7/checkpoint-11264/rng_state.pth +3 -0
- checkpoints-v5.7/checkpoint-11264/scaler.pt +3 -0
- checkpoints-v5.7/checkpoint-11264/scheduler.pt +3 -0
- checkpoints-v5.7/checkpoint-11264/trainer_state.json +452 -0
- checkpoints-v5.7/checkpoint-11264/training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -44,3 +44,4 @@ checkpoints-v4.4+/checkpoint-7168/eval_state.json filter=lfs diff=lfs merge=lfs
|
|
| 44 |
checkpoints-v5.5/checkpoint-24576/eval_state.json filter=lfs diff=lfs merge=lfs -text
|
| 45 |
checkpoints-v5.6/checkpoint-4096/eval_state.json filter=lfs diff=lfs merge=lfs -text
|
| 46 |
checkpoints-v5.6/checkpoint-14336/eval_state.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 44 |
checkpoints-v5.5/checkpoint-24576/eval_state.json filter=lfs diff=lfs merge=lfs -text
|
| 45 |
checkpoints-v5.6/checkpoint-4096/eval_state.json filter=lfs diff=lfs merge=lfs -text
|
| 46 |
checkpoints-v5.6/checkpoint-14336/eval_state.json filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
checkpoints-v5.7/checkpoint-11264/eval_state.json filter=lfs diff=lfs merge=lfs -text
|
checkpoints-v5.7/checkpoint-11264/ema.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cfc5af0310f2166d9003e76c133aeba67efed19fcb458295ca1dc9a1a612c620
|
| 3 |
+
size 54599592
|
checkpoints-v5.7/checkpoint-11264/eval_state.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:79201eb36a32062afb99bd12f11f01a97b2ead8283ae7d6c75b8c34efc186176
|
| 3 |
+
size 59985045
|
checkpoints-v5.7/checkpoint-11264/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e6d75bd60fc632256a58d92778398dc8f1ee608e7057b89e36759c6ba050ed2
|
| 3 |
+
size 54599624
|
checkpoints-v5.7/checkpoint-11264/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c832b88f473165d599a5184fd54e164ebd0a61b9be83c8bd7757fda5ce0b1e29
|
| 3 |
+
size 76550347
|
checkpoints-v5.7/checkpoint-11264/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3445e2029753be8bf32790ad2df6092dc63f2028e7603a9903f650b4f19cbab4
|
| 3 |
+
size 14645
|
checkpoints-v5.7/checkpoint-11264/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:79701bbdc0c49714e0e085b5c67881fa167d2bf0d010e2195ebdf057057d72dd
|
| 3 |
+
size 1383
|
checkpoints-v5.7/checkpoint-11264/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:19ad511dc53ec97f3489767f5cff37a551a58fb728bc82956d6ea6fdb5514518
|
| 3 |
+
size 1465
|
checkpoints-v5.7/checkpoint-11264/trainer_state.json
ADDED
|
@@ -0,0 +1,452 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.4854440062921542,
|
| 6 |
+
"eval_steps": 1024,
|
| 7 |
+
"global_step": 11264,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.04413127329928675,
|
| 14 |
+
"grad_norm": 3.5420610904693604,
|
| 15 |
+
"learning_rate": 9.990234375e-05,
|
| 16 |
+
"loss": 15.012842178344727,
|
| 17 |
+
"step": 1024
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.04413127329928675,
|
| 21 |
+
"eval_bleu": 0.1625731794882785,
|
| 22 |
+
"eval_ce_clean_loss": 2.213519910759509,
|
| 23 |
+
"eval_ce_pred_loss": 5.054043449572663,
|
| 24 |
+
"eval_flow_cos_loss": 0.47666819663698484,
|
| 25 |
+
"eval_flow_mse_loss": 1.3785955913539634,
|
| 26 |
+
"eval_loss": 8.765326018018255,
|
| 27 |
+
"flow/cos_sim": 0.523331833546604,
|
| 28 |
+
"flow/improvement_ratio": 0.9235056383269173,
|
| 29 |
+
"flow/mag_ratio_mean": 0.0070004605495535745,
|
| 30 |
+
"flow/mag_ratio_std": 0.0032371597157032695,
|
| 31 |
+
"step": 1024
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.04413127329928675,
|
| 35 |
+
"eval_bleu": 0.1625731794882785,
|
| 36 |
+
"eval_ce_clean_loss": 2.213519910759509,
|
| 37 |
+
"eval_ce_pred_loss": 5.054043449572663,
|
| 38 |
+
"eval_flow_cos_loss": 0.47666819663698484,
|
| 39 |
+
"eval_flow_mse_loss": 1.3785955913539634,
|
| 40 |
+
"eval_loss": 8.765326018018255,
|
| 41 |
+
"eval_runtime": 203.2491,
|
| 42 |
+
"eval_samples_per_second": 147.602,
|
| 43 |
+
"eval_steps_per_second": 2.308,
|
| 44 |
+
"flow/cos_sim": 0.523331833546604,
|
| 45 |
+
"flow/improvement_ratio": 0.9235056383269173,
|
| 46 |
+
"flow/mag_ratio_mean": 0.0070004605495535745,
|
| 47 |
+
"flow/mag_ratio_std": 0.0032371597157032695,
|
| 48 |
+
"step": 1024
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 0.0882625465985735,
|
| 52 |
+
"grad_norm": 1.748165249824524,
|
| 53 |
+
"learning_rate": 9.9476028157316e-05,
|
| 54 |
+
"loss": 6.209901809692383,
|
| 55 |
+
"step": 2048
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 0.0882625465985735,
|
| 59 |
+
"eval_bleu": 0.3936336657643431,
|
| 60 |
+
"eval_ce_clean_loss": 0.36314720633441705,
|
| 61 |
+
"eval_ce_pred_loss": 3.07268785362813,
|
| 62 |
+
"eval_flow_cos_loss": 0.4477332118096382,
|
| 63 |
+
"eval_flow_mse_loss": 1.4534405088628024,
|
| 64 |
+
"eval_loss": 5.001208877766818,
|
| 65 |
+
"flow/cos_sim": 0.552266787110107,
|
| 66 |
+
"flow/improvement_ratio": 0.9922580608426889,
|
| 67 |
+
"flow/mag_ratio_mean": 0.4709286067023206,
|
| 68 |
+
"flow/mag_ratio_std": 0.1402487441230176,
|
| 69 |
+
"step": 2048
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.0882625465985735,
|
| 73 |
+
"eval_bleu": 0.3936336657643431,
|
| 74 |
+
"eval_ce_clean_loss": 0.36314720633441705,
|
| 75 |
+
"eval_ce_pred_loss": 3.07268785362813,
|
| 76 |
+
"eval_flow_cos_loss": 0.4477332118096382,
|
| 77 |
+
"eval_flow_mse_loss": 1.4534405088628024,
|
| 78 |
+
"eval_loss": 5.001208877766818,
|
| 79 |
+
"eval_runtime": 202.5752,
|
| 80 |
+
"eval_samples_per_second": 148.093,
|
| 81 |
+
"eval_steps_per_second": 2.315,
|
| 82 |
+
"flow/cos_sim": 0.552266787110107,
|
| 83 |
+
"flow/improvement_ratio": 0.9922580608426889,
|
| 84 |
+
"flow/mag_ratio_mean": 0.4709286067023206,
|
| 85 |
+
"flow/mag_ratio_std": 0.1402487441230176,
|
| 86 |
+
"step": 2048
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.13239381989786023,
|
| 90 |
+
"grad_norm": 2.414154529571533,
|
| 91 |
+
"learning_rate": 9.791307026072513e-05,
|
| 92 |
+
"loss": 4.706303596496582,
|
| 93 |
+
"step": 3072
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.13239381989786023,
|
| 97 |
+
"eval_bleu": 0.441628158711516,
|
| 98 |
+
"eval_ce_clean_loss": 0.1436088167464555,
|
| 99 |
+
"eval_ce_pred_loss": 2.6581369013166123,
|
| 100 |
+
"eval_flow_cos_loss": 0.308133079616754,
|
| 101 |
+
"eval_flow_mse_loss": 1.4948640911818059,
|
| 102 |
+
"eval_loss": 4.373643074462663,
|
| 103 |
+
"flow/cos_sim": 0.6918669179050144,
|
| 104 |
+
"flow/improvement_ratio": 0.9946666356088765,
|
| 105 |
+
"flow/mag_ratio_mean": 0.6559606152556853,
|
| 106 |
+
"flow/mag_ratio_std": 0.1298362000632896,
|
| 107 |
+
"step": 3072
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.13239381989786023,
|
| 111 |
+
"eval_bleu": 0.441628158711516,
|
| 112 |
+
"eval_ce_clean_loss": 0.1436088167464555,
|
| 113 |
+
"eval_ce_pred_loss": 2.6581369013166123,
|
| 114 |
+
"eval_flow_cos_loss": 0.308133079616754,
|
| 115 |
+
"eval_flow_mse_loss": 1.4948640911818059,
|
| 116 |
+
"eval_loss": 4.373643074462663,
|
| 117 |
+
"eval_runtime": 204.4075,
|
| 118 |
+
"eval_samples_per_second": 146.766,
|
| 119 |
+
"eval_steps_per_second": 2.294,
|
| 120 |
+
"flow/cos_sim": 0.6918669179050144,
|
| 121 |
+
"flow/improvement_ratio": 0.9946666356088765,
|
| 122 |
+
"flow/mag_ratio_mean": 0.6559606152556853,
|
| 123 |
+
"flow/mag_ratio_std": 0.1298362000632896,
|
| 124 |
+
"step": 3072
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 0.176525093197147,
|
| 128 |
+
"grad_norm": 2.3635289669036865,
|
| 129 |
+
"learning_rate": 9.53439476074686e-05,
|
| 130 |
+
"loss": 4.239753723144531,
|
| 131 |
+
"step": 4096
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 0.176525093197147,
|
| 135 |
+
"eval_bleu": 0.4615621334542706,
|
| 136 |
+
"eval_ce_clean_loss": 0.07557619481420974,
|
| 137 |
+
"eval_ce_pred_loss": 2.4599488297505165,
|
| 138 |
+
"eval_flow_cos_loss": 0.19299609037731758,
|
| 139 |
+
"eval_flow_mse_loss": 1.4604684709231737,
|
| 140 |
+
"eval_loss": 4.044242526930787,
|
| 141 |
+
"flow/cos_sim": 0.8070039445403289,
|
| 142 |
+
"flow/improvement_ratio": 0.9945209180114112,
|
| 143 |
+
"flow/mag_ratio_mean": 0.7952993317707769,
|
| 144 |
+
"flow/mag_ratio_std": 0.10881571144437485,
|
| 145 |
+
"step": 4096
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 0.176525093197147,
|
| 149 |
+
"eval_bleu": 0.4615621334542706,
|
| 150 |
+
"eval_ce_clean_loss": 0.07557619481420974,
|
| 151 |
+
"eval_ce_pred_loss": 2.4599488297505165,
|
| 152 |
+
"eval_flow_cos_loss": 0.19299609037731758,
|
| 153 |
+
"eval_flow_mse_loss": 1.4604684709231737,
|
| 154 |
+
"eval_loss": 4.044242526930787,
|
| 155 |
+
"eval_runtime": 202.0002,
|
| 156 |
+
"eval_samples_per_second": 148.515,
|
| 157 |
+
"eval_steps_per_second": 2.322,
|
| 158 |
+
"flow/cos_sim": 0.8070039445403289,
|
| 159 |
+
"flow/improvement_ratio": 0.9945209180114112,
|
| 160 |
+
"flow/mag_ratio_mean": 0.7952993317707769,
|
| 161 |
+
"flow/mag_ratio_std": 0.10881571144437485,
|
| 162 |
+
"step": 4096
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 0.22065636649643372,
|
| 166 |
+
"grad_norm": 2.678138494491577,
|
| 167 |
+
"learning_rate": 9.18264920723673e-05,
|
| 168 |
+
"loss": 4.034201622009277,
|
| 169 |
+
"step": 5120
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 0.22065636649643372,
|
| 173 |
+
"eval_bleu": 0.4705916689295048,
|
| 174 |
+
"eval_ce_clean_loss": 0.0494267504447813,
|
| 175 |
+
"eval_ce_pred_loss": 2.3516790477960092,
|
| 176 |
+
"eval_flow_cos_loss": 0.15000832287360355,
|
| 177 |
+
"eval_flow_mse_loss": 1.4484400370481934,
|
| 178 |
+
"eval_loss": 3.88704792268749,
|
| 179 |
+
"flow/cos_sim": 0.8499916934255344,
|
| 180 |
+
"flow/improvement_ratio": 0.994823846608591,
|
| 181 |
+
"flow/mag_ratio_mean": 0.8384634782510526,
|
| 182 |
+
"flow/mag_ratio_std": 0.10320697241881763,
|
| 183 |
+
"step": 5120
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.22065636649643372,
|
| 187 |
+
"eval_bleu": 0.4705916689295048,
|
| 188 |
+
"eval_ce_clean_loss": 0.0494267504447813,
|
| 189 |
+
"eval_ce_pred_loss": 2.3516790477960092,
|
| 190 |
+
"eval_flow_cos_loss": 0.15000832287360355,
|
| 191 |
+
"eval_flow_mse_loss": 1.4484400370481934,
|
| 192 |
+
"eval_loss": 3.88704792268749,
|
| 193 |
+
"eval_runtime": 203.0161,
|
| 194 |
+
"eval_samples_per_second": 147.772,
|
| 195 |
+
"eval_steps_per_second": 2.31,
|
| 196 |
+
"flow/cos_sim": 0.8499916934255344,
|
| 197 |
+
"flow/improvement_ratio": 0.994823846608591,
|
| 198 |
+
"flow/mag_ratio_mean": 0.8384634782510526,
|
| 199 |
+
"flow/mag_ratio_std": 0.10320697241881763,
|
| 200 |
+
"step": 5120
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.26478763979572045,
|
| 204 |
+
"grad_norm": 2.697188377380371,
|
| 205 |
+
"learning_rate": 8.742770483354739e-05,
|
| 206 |
+
"loss": 3.91947078704834,
|
| 207 |
+
"step": 6144
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.26478763979572045,
|
| 211 |
+
"eval_bleu": 0.4864538614651346,
|
| 212 |
+
"eval_ce_clean_loss": 0.035138009219313225,
|
| 213 |
+
"eval_ce_pred_loss": 2.2508087689434286,
|
| 214 |
+
"eval_flow_cos_loss": 0.12960540185541486,
|
| 215 |
+
"eval_flow_mse_loss": 1.4621114108099866,
|
| 216 |
+
"eval_loss": 3.780459539722532,
|
| 217 |
+
"flow/cos_sim": 0.8703946246267128,
|
| 218 |
+
"flow/improvement_ratio": 0.9945963007300648,
|
| 219 |
+
"flow/mag_ratio_mean": 0.8639802461239829,
|
| 220 |
+
"flow/mag_ratio_std": 0.10180102466647305,
|
| 221 |
+
"step": 6144
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.26478763979572045,
|
| 225 |
+
"eval_bleu": 0.4864538614651346,
|
| 226 |
+
"eval_ce_clean_loss": 0.035138009219313225,
|
| 227 |
+
"eval_ce_pred_loss": 2.2508087689434286,
|
| 228 |
+
"eval_flow_cos_loss": 0.12960540185541486,
|
| 229 |
+
"eval_flow_mse_loss": 1.4621114108099866,
|
| 230 |
+
"eval_loss": 3.780459539722532,
|
| 231 |
+
"eval_runtime": 205.5395,
|
| 232 |
+
"eval_samples_per_second": 145.957,
|
| 233 |
+
"eval_steps_per_second": 2.282,
|
| 234 |
+
"flow/cos_sim": 0.8703946246267128,
|
| 235 |
+
"flow/improvement_ratio": 0.9945963007300648,
|
| 236 |
+
"flow/mag_ratio_mean": 0.8639802461239829,
|
| 237 |
+
"flow/mag_ratio_std": 0.10180102466647305,
|
| 238 |
+
"step": 6144
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 0.30891891309500724,
|
| 242 |
+
"grad_norm": 2.7849202156066895,
|
| 243 |
+
"learning_rate": 8.22483558761947e-05,
|
| 244 |
+
"loss": 3.8042945861816406,
|
| 245 |
+
"step": 7168
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 0.30891891309500724,
|
| 249 |
+
"eval_bleu": 0.4923328702286439,
|
| 250 |
+
"eval_ce_clean_loss": 0.025836026905648617,
|
| 251 |
+
"eval_ce_pred_loss": 2.201877651946631,
|
| 252 |
+
"eval_flow_cos_loss": 0.11639371145762868,
|
| 253 |
+
"eval_flow_mse_loss": 1.4438700551417336,
|
| 254 |
+
"eval_loss": 3.700682167813722,
|
| 255 |
+
"flow/cos_sim": 0.8836063147862074,
|
| 256 |
+
"flow/improvement_ratio": 0.9956886801384152,
|
| 257 |
+
"flow/mag_ratio_mean": 0.8825320526480929,
|
| 258 |
+
"flow/mag_ratio_std": 0.09993369791553473,
|
| 259 |
+
"step": 7168
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"epoch": 0.30891891309500724,
|
| 263 |
+
"eval_bleu": 0.4923328702286439,
|
| 264 |
+
"eval_ce_clean_loss": 0.025836026905648617,
|
| 265 |
+
"eval_ce_pred_loss": 2.201877651946631,
|
| 266 |
+
"eval_flow_cos_loss": 0.11639371145762868,
|
| 267 |
+
"eval_flow_mse_loss": 1.4438700551417336,
|
| 268 |
+
"eval_loss": 3.700682167813722,
|
| 269 |
+
"eval_runtime": 204.1105,
|
| 270 |
+
"eval_samples_per_second": 146.979,
|
| 271 |
+
"eval_steps_per_second": 2.298,
|
| 272 |
+
"flow/cos_sim": 0.8836063147862074,
|
| 273 |
+
"flow/improvement_ratio": 0.9956886801384152,
|
| 274 |
+
"flow/mag_ratio_mean": 0.8825320526480929,
|
| 275 |
+
"flow/mag_ratio_std": 0.09993369791553473,
|
| 276 |
+
"step": 7168
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.353050186394294,
|
| 280 |
+
"grad_norm": 3.4521219730377197,
|
| 281 |
+
"learning_rate": 7.639311770076283e-05,
|
| 282 |
+
"loss": 3.742882013320923,
|
| 283 |
+
"step": 8192
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.353050186394294,
|
| 287 |
+
"eval_bleu": 0.4985979565576243,
|
| 288 |
+
"eval_ce_clean_loss": 0.019649004948927143,
|
| 289 |
+
"eval_ce_pred_loss": 2.1497555045939203,
|
| 290 |
+
"eval_flow_cos_loss": 0.10761768184999414,
|
| 291 |
+
"eval_flow_mse_loss": 1.4486083501437579,
|
| 292 |
+
"eval_loss": 3.6449172842477178,
|
| 293 |
+
"flow/cos_sim": 0.8923823411530777,
|
| 294 |
+
"flow/improvement_ratio": 0.994830364865789,
|
| 295 |
+
"flow/mag_ratio_mean": 0.887576200560466,
|
| 296 |
+
"flow/mag_ratio_std": 0.09879913681478643,
|
| 297 |
+
"step": 8192
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.353050186394294,
|
| 301 |
+
"eval_bleu": 0.4985979565576243,
|
| 302 |
+
"eval_ce_clean_loss": 0.019649004948927143,
|
| 303 |
+
"eval_ce_pred_loss": 2.1497555045939203,
|
| 304 |
+
"eval_flow_cos_loss": 0.10761768184999414,
|
| 305 |
+
"eval_flow_mse_loss": 1.4486083501437579,
|
| 306 |
+
"eval_loss": 3.6449172842477178,
|
| 307 |
+
"eval_runtime": 202.46,
|
| 308 |
+
"eval_samples_per_second": 148.177,
|
| 309 |
+
"eval_steps_per_second": 2.317,
|
| 310 |
+
"flow/cos_sim": 0.8923823411530777,
|
| 311 |
+
"flow/improvement_ratio": 0.994830364865789,
|
| 312 |
+
"flow/mag_ratio_mean": 0.887576200560466,
|
| 313 |
+
"flow/mag_ratio_std": 0.09879913681478643,
|
| 314 |
+
"step": 8192
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.3971814596935807,
|
| 318 |
+
"grad_norm": 3.2107231616973877,
|
| 319 |
+
"learning_rate": 6.998470950469718e-05,
|
| 320 |
+
"loss": 3.6923625469207764,
|
| 321 |
+
"step": 9216
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.3971814596935807,
|
| 325 |
+
"eval_bleu": 0.5066862633379221,
|
| 326 |
+
"eval_ce_clean_loss": 0.015679127411611045,
|
| 327 |
+
"eval_ce_pred_loss": 2.0771032885701928,
|
| 328 |
+
"eval_flow_cos_loss": 0.09987032024273232,
|
| 329 |
+
"eval_flow_mse_loss": 1.4281837706372682,
|
| 330 |
+
"eval_loss": 3.5459337570011487,
|
| 331 |
+
"flow/cos_sim": 0.9001296995036892,
|
| 332 |
+
"flow/improvement_ratio": 0.9953078100167866,
|
| 333 |
+
"flow/mag_ratio_mean": 0.8994739131886822,
|
| 334 |
+
"flow/mag_ratio_std": 0.09903026111662261,
|
| 335 |
+
"step": 9216
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.3971814596935807,
|
| 339 |
+
"eval_bleu": 0.5066862633379221,
|
| 340 |
+
"eval_ce_clean_loss": 0.015679127411611045,
|
| 341 |
+
"eval_ce_pred_loss": 2.0771032885701928,
|
| 342 |
+
"eval_flow_cos_loss": 0.09987032024273232,
|
| 343 |
+
"eval_flow_mse_loss": 1.4281837706372682,
|
| 344 |
+
"eval_loss": 3.5459337570011487,
|
| 345 |
+
"eval_runtime": 202.3533,
|
| 346 |
+
"eval_samples_per_second": 148.256,
|
| 347 |
+
"eval_steps_per_second": 2.318,
|
| 348 |
+
"flow/cos_sim": 0.9001296995036892,
|
| 349 |
+
"flow/improvement_ratio": 0.9953078100167866,
|
| 350 |
+
"flow/mag_ratio_mean": 0.8994739131886822,
|
| 351 |
+
"flow/mag_ratio_std": 0.09903026111662261,
|
| 352 |
+
"step": 9216
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.44131273299286744,
|
| 356 |
+
"grad_norm": 2.0100369453430176,
|
| 357 |
+
"learning_rate": 6.315061173955019e-05,
|
| 358 |
+
"loss": 3.6312835216522217,
|
| 359 |
+
"step": 10240
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.44131273299286744,
|
| 363 |
+
"eval_bleu": 0.5093028892911015,
|
| 364 |
+
"eval_ce_clean_loss": 0.01291672647225736,
|
| 365 |
+
"eval_ce_pred_loss": 2.0760930476666513,
|
| 366 |
+
"eval_flow_cos_loss": 0.09497748156473326,
|
| 367 |
+
"eval_flow_mse_loss": 1.4274813465472223,
|
| 368 |
+
"eval_loss": 3.54023549094129,
|
| 369 |
+
"flow/cos_sim": 0.9050225401992229,
|
| 370 |
+
"flow/improvement_ratio": 0.9958795127329796,
|
| 371 |
+
"flow/mag_ratio_mean": 0.9021421949238156,
|
| 372 |
+
"flow/mag_ratio_std": 0.09747769917125132,
|
| 373 |
+
"step": 10240
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.44131273299286744,
|
| 377 |
+
"eval_bleu": 0.5093028892911015,
|
| 378 |
+
"eval_ce_clean_loss": 0.01291672647225736,
|
| 379 |
+
"eval_ce_pred_loss": 2.0760930476666513,
|
| 380 |
+
"eval_flow_cos_loss": 0.09497748156473326,
|
| 381 |
+
"eval_flow_mse_loss": 1.4274813465472223,
|
| 382 |
+
"eval_loss": 3.54023549094129,
|
| 383 |
+
"eval_runtime": 201.9329,
|
| 384 |
+
"eval_samples_per_second": 148.564,
|
| 385 |
+
"eval_steps_per_second": 2.323,
|
| 386 |
+
"flow/cos_sim": 0.9050225401992229,
|
| 387 |
+
"flow/improvement_ratio": 0.9958795127329796,
|
| 388 |
+
"flow/mag_ratio_mean": 0.9021421949238156,
|
| 389 |
+
"flow/mag_ratio_std": 0.09747769917125132,
|
| 390 |
+
"step": 10240
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 0.4854440062921542,
|
| 394 |
+
"grad_norm": 1.2468712329864502,
|
| 395 |
+
"learning_rate": 5.604738390528452e-05,
|
| 396 |
+
"loss": 3.59726881980896,
|
| 397 |
+
"step": 11264
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 0.4854440062921542,
|
| 401 |
+
"eval_bleu": 0.5041383836806987,
|
| 402 |
+
"eval_ce_clean_loss": 0.010839646158894814,
|
| 403 |
+
"eval_ce_pred_loss": 2.0983083942043246,
|
| 404 |
+
"eval_flow_cos_loss": 0.08914897600407286,
|
| 405 |
+
"eval_flow_mse_loss": 1.3907782823038,
|
| 406 |
+
"eval_loss": 3.5222135632277043,
|
| 407 |
+
"flow/cos_sim": 0.9108510378327197,
|
| 408 |
+
"flow/improvement_ratio": 0.9943067862280904,
|
| 409 |
+
"flow/mag_ratio_mean": 0.9097654617417341,
|
| 410 |
+
"flow/mag_ratio_std": 0.09677679185419957,
|
| 411 |
+
"step": 11264
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 0.4854440062921542,
|
| 415 |
+
"eval_bleu": 0.5041383836806987,
|
| 416 |
+
"eval_ce_clean_loss": 0.010839646158894814,
|
| 417 |
+
"eval_ce_pred_loss": 2.0983083942043246,
|
| 418 |
+
"eval_flow_cos_loss": 0.08914897600407286,
|
| 419 |
+
"eval_flow_mse_loss": 1.3907782823038,
|
| 420 |
+
"eval_loss": 3.5222135632277043,
|
| 421 |
+
"eval_runtime": 203.9153,
|
| 422 |
+
"eval_samples_per_second": 147.12,
|
| 423 |
+
"eval_steps_per_second": 2.3,
|
| 424 |
+
"flow/cos_sim": 0.9108510378327197,
|
| 425 |
+
"flow/improvement_ratio": 0.9943067862280904,
|
| 426 |
+
"flow/mag_ratio_mean": 0.9097654617417341,
|
| 427 |
+
"flow/mag_ratio_std": 0.09677679185419957,
|
| 428 |
+
"step": 11264
|
| 429 |
+
}
|
| 430 |
+
],
|
| 431 |
+
"logging_steps": 1024,
|
| 432 |
+
"max_steps": 23204,
|
| 433 |
+
"num_input_tokens_seen": 0,
|
| 434 |
+
"num_train_epochs": 1,
|
| 435 |
+
"save_steps": 1024,
|
| 436 |
+
"stateful_callbacks": {
|
| 437 |
+
"TrainerControl": {
|
| 438 |
+
"args": {
|
| 439 |
+
"should_epoch_stop": false,
|
| 440 |
+
"should_evaluate": false,
|
| 441 |
+
"should_log": false,
|
| 442 |
+
"should_save": true,
|
| 443 |
+
"should_training_stop": false
|
| 444 |
+
},
|
| 445 |
+
"attributes": {}
|
| 446 |
+
}
|
| 447 |
+
},
|
| 448 |
+
"total_flos": 0.0,
|
| 449 |
+
"train_batch_size": 64,
|
| 450 |
+
"trial_name": null,
|
| 451 |
+
"trial_params": null
|
| 452 |
+
}
|
checkpoints-v5.7/checkpoint-11264/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8469bbc81a2ba0be2f5b44007faafd15c75615abe30f4f4e56171816d31caa5b
|
| 3 |
+
size 5137
|