Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- checkpoints-v5.1/checkpoint-12288/ema.safetensors +3 -0
- checkpoints-v5.1/checkpoint-12288/eval_state.json +3 -0
- checkpoints-v5.1/checkpoint-12288/model.safetensors +3 -0
- checkpoints-v5.1/checkpoint-12288/optimizer.pt +3 -0
- checkpoints-v5.1/checkpoint-12288/rng_state.pth +3 -0
- checkpoints-v5.1/checkpoint-12288/scaler.pt +3 -0
- checkpoints-v5.1/checkpoint-12288/scheduler.pt +3 -0
- checkpoints-v5.1/checkpoint-12288/trainer_state.json +490 -0
- checkpoints-v5.1/checkpoint-12288/training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
checkpoints-v5/checkpoint-12288/eval_state.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
checkpoints-v5/checkpoint-12288/eval_state.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
checkpoints-v5.1/checkpoint-12288/eval_state.json filter=lfs diff=lfs merge=lfs -text
|
checkpoints-v5.1/checkpoint-12288/ema.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b8afeba4d1431f7babd620f2474439028d75a2677561a50be67829184c14e91a
|
| 3 |
+
size 54599376
|
checkpoints-v5.1/checkpoint-12288/eval_state.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3ecf79c792deb8b161f482a6c98bb0973c7f46f4e5199124cacfcc43a675fea2
|
| 3 |
+
size 41690129
|
checkpoints-v5.1/checkpoint-12288/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ac9f855cf379a513b27b1dd6f8f94319531a20ec661d289bb347448c1c910d3
|
| 3 |
+
size 54599408
|
checkpoints-v5.1/checkpoint-12288/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b6c0d7073b75def89079d08161458023a30dba9fa688d565f2112342155cabea
|
| 3 |
+
size 76550347
|
checkpoints-v5.1/checkpoint-12288/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5f8e5d1fe4d3a12883c398185ffe51a550062eb0ca27cef82c662a9af043b7b
|
| 3 |
+
size 14645
|
checkpoints-v5.1/checkpoint-12288/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b876371b69448f3749ca492ba9e273a97b4582bd9dcba73d308b5d464395d7b1
|
| 3 |
+
size 1383
|
checkpoints-v5.1/checkpoint-12288/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9b5e38a92cb7e4e0d3a7296066cd2cf1a7426f9f51c35b7d8712960c4e715ec8
|
| 3 |
+
size 1465
|
checkpoints-v5.1/checkpoint-12288/trainer_state.json
ADDED
|
@@ -0,0 +1,490 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.5675488430095608,
|
| 6 |
+
"eval_steps": 1024,
|
| 7 |
+
"global_step": 12288,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.047295736917463395,
|
| 14 |
+
"grad_norm": 2.106490135192871,
|
| 15 |
+
"learning_rate": 0.00029970703124999995,
|
| 16 |
+
"loss": 7.3224077224731445,
|
| 17 |
+
"step": 1024
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.047295736917463395,
|
| 21 |
+
"eval_bleu": 0.16704781801498278,
|
| 22 |
+
"eval_ce_clean_loss": 0.8006052018300583,
|
| 23 |
+
"eval_ce_pred_loss": 5.09323315206728,
|
| 24 |
+
"eval_flow_cos_loss": 0.25552307487758874,
|
| 25 |
+
"eval_flow_mse_loss": 0.4737413005741764,
|
| 26 |
+
"eval_loss": 5.201592297314509,
|
| 27 |
+
"flow/cos_sim": 0.7444769605381848,
|
| 28 |
+
"flow/improvement_ratio": 0.9690007240804908,
|
| 29 |
+
"flow/mag_ratio_mean": 0.5684286470962986,
|
| 30 |
+
"flow/mag_ratio_std": 0.1943025813187094,
|
| 31 |
+
"step": 1024
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.047295736917463395,
|
| 35 |
+
"eval_bleu": 0.16704781801498278,
|
| 36 |
+
"eval_ce_clean_loss": 0.8006052018300583,
|
| 37 |
+
"eval_ce_pred_loss": 5.09323315206728,
|
| 38 |
+
"eval_flow_cos_loss": 0.25552307487758874,
|
| 39 |
+
"eval_flow_mse_loss": 0.4737413005741764,
|
| 40 |
+
"eval_loss": 5.201592297314509,
|
| 41 |
+
"eval_runtime": 184.3437,
|
| 42 |
+
"eval_samples_per_second": 151.852,
|
| 43 |
+
"eval_steps_per_second": 2.376,
|
| 44 |
+
"flow/cos_sim": 0.7444769605381848,
|
| 45 |
+
"flow/improvement_ratio": 0.9690007240804908,
|
| 46 |
+
"flow/mag_ratio_mean": 0.5684286470962986,
|
| 47 |
+
"flow/mag_ratio_std": 0.1943025813187094,
|
| 48 |
+
"step": 1024
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 0.09459147383492679,
|
| 52 |
+
"grad_norm": 1.5151523351669312,
|
| 53 |
+
"learning_rate": 0.00029818297300322,
|
| 54 |
+
"loss": 5.1176676750183105,
|
| 55 |
+
"step": 2048
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 0.09459147383492679,
|
| 59 |
+
"eval_bleu": 0.15959126254389083,
|
| 60 |
+
"eval_ce_clean_loss": 0.2092574786854117,
|
| 61 |
+
"eval_ce_pred_loss": 5.118338076491334,
|
| 62 |
+
"eval_flow_cos_loss": 0.13469866032129554,
|
| 63 |
+
"eval_flow_mse_loss": 0.3451302863963663,
|
| 64 |
+
"eval_loss": 5.006234865754707,
|
| 65 |
+
"flow/cos_sim": 0.865301351841182,
|
| 66 |
+
"flow/improvement_ratio": 0.993777159822586,
|
| 67 |
+
"flow/mag_ratio_mean": 0.764228024575264,
|
| 68 |
+
"flow/mag_ratio_std": 0.1451562752938706,
|
| 69 |
+
"step": 2048
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.09459147383492679,
|
| 73 |
+
"eval_bleu": 0.15959126254389083,
|
| 74 |
+
"eval_ce_clean_loss": 0.2092574786854117,
|
| 75 |
+
"eval_ce_pred_loss": 5.118338076491334,
|
| 76 |
+
"eval_flow_cos_loss": 0.13469866032129554,
|
| 77 |
+
"eval_flow_mse_loss": 0.3451302863963663,
|
| 78 |
+
"eval_loss": 5.006234865754707,
|
| 79 |
+
"eval_runtime": 179.8087,
|
| 80 |
+
"eval_samples_per_second": 155.682,
|
| 81 |
+
"eval_steps_per_second": 2.436,
|
| 82 |
+
"flow/cos_sim": 0.865301351841182,
|
| 83 |
+
"flow/improvement_ratio": 0.993777159822586,
|
| 84 |
+
"flow/mag_ratio_mean": 0.764228024575264,
|
| 85 |
+
"flow/mag_ratio_std": 0.1451562752938706,
|
| 86 |
+
"step": 2048
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.1418872107523902,
|
| 90 |
+
"grad_norm": 2.0519113540649414,
|
| 91 |
+
"learning_rate": 0.0002927689070858589,
|
| 92 |
+
"loss": 4.94038724899292,
|
| 93 |
+
"step": 3072
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.1418872107523902,
|
| 97 |
+
"eval_bleu": 0.19109057338236854,
|
| 98 |
+
"eval_ce_clean_loss": 0.09927985731291172,
|
| 99 |
+
"eval_ce_pred_loss": 4.847544043031458,
|
| 100 |
+
"eval_flow_cos_loss": 0.11591754169905022,
|
| 101 |
+
"eval_flow_mse_loss": 0.3725693541574696,
|
| 102 |
+
"eval_loss": 4.7742662386262795,
|
| 103 |
+
"flow/cos_sim": 0.8840824780671019,
|
| 104 |
+
"flow/improvement_ratio": 0.9947053511120957,
|
| 105 |
+
"flow/mag_ratio_mean": 0.8077854450162687,
|
| 106 |
+
"flow/mag_ratio_std": 0.12759848946033547,
|
| 107 |
+
"step": 3072
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.1418872107523902,
|
| 111 |
+
"eval_bleu": 0.19109057338236854,
|
| 112 |
+
"eval_ce_clean_loss": 0.09927985731291172,
|
| 113 |
+
"eval_ce_pred_loss": 4.847544043031458,
|
| 114 |
+
"eval_flow_cos_loss": 0.11591754169905022,
|
| 115 |
+
"eval_flow_mse_loss": 0.3725693541574696,
|
| 116 |
+
"eval_loss": 4.7742662386262795,
|
| 117 |
+
"eval_runtime": 179.382,
|
| 118 |
+
"eval_samples_per_second": 156.052,
|
| 119 |
+
"eval_steps_per_second": 2.442,
|
| 120 |
+
"flow/cos_sim": 0.8840824780671019,
|
| 121 |
+
"flow/improvement_ratio": 0.9947053511120957,
|
| 122 |
+
"flow/mag_ratio_mean": 0.8077854450162687,
|
| 123 |
+
"flow/mag_ratio_std": 0.12759848946033547,
|
| 124 |
+
"step": 3072
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 0.18918294766985358,
|
| 128 |
+
"grad_norm": 2.0934338569641113,
|
| 129 |
+
"learning_rate": 0.0002838892232677901,
|
| 130 |
+
"loss": 4.741153240203857,
|
| 131 |
+
"step": 4096
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 0.18918294766985358,
|
| 135 |
+
"eval_bleu": 0.18968657464122718,
|
| 136 |
+
"eval_ce_clean_loss": 0.05336422391967278,
|
| 137 |
+
"eval_ce_pred_loss": 4.809050649268442,
|
| 138 |
+
"eval_flow_cos_loss": 0.07764796834422029,
|
| 139 |
+
"eval_flow_mse_loss": 0.3626167481620562,
|
| 140 |
+
"eval_loss": 4.7155106383371574,
|
| 141 |
+
"flow/cos_sim": 0.9223520577498222,
|
| 142 |
+
"flow/improvement_ratio": 0.9944308828817655,
|
| 143 |
+
"flow/mag_ratio_mean": 0.8769120071848778,
|
| 144 |
+
"flow/mag_ratio_std": 0.09842952985537651,
|
| 145 |
+
"step": 4096
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 0.18918294766985358,
|
| 149 |
+
"eval_bleu": 0.18968657464122718,
|
| 150 |
+
"eval_ce_clean_loss": 0.05336422391967278,
|
| 151 |
+
"eval_ce_pred_loss": 4.809050649268442,
|
| 152 |
+
"eval_flow_cos_loss": 0.07764796834422029,
|
| 153 |
+
"eval_flow_mse_loss": 0.3626167481620562,
|
| 154 |
+
"eval_loss": 4.7155106383371574,
|
| 155 |
+
"eval_runtime": 179.0768,
|
| 156 |
+
"eval_samples_per_second": 156.318,
|
| 157 |
+
"eval_steps_per_second": 2.446,
|
| 158 |
+
"flow/cos_sim": 0.9223520577498222,
|
| 159 |
+
"flow/improvement_ratio": 0.9944308828817655,
|
| 160 |
+
"flow/mag_ratio_mean": 0.8769120071848778,
|
| 161 |
+
"flow/mag_ratio_std": 0.09842952985537651,
|
| 162 |
+
"step": 4096
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 0.236478684587317,
|
| 166 |
+
"grad_norm": 2.3496689796447754,
|
| 167 |
+
"learning_rate": 0.00027177281107320826,
|
| 168 |
+
"loss": 4.68638801574707,
|
| 169 |
+
"step": 5120
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 0.236478684587317,
|
| 173 |
+
"eval_bleu": 0.22356960405367263,
|
| 174 |
+
"eval_ce_clean_loss": 0.0327355340824858,
|
| 175 |
+
"eval_ce_pred_loss": 4.565925827853756,
|
| 176 |
+
"eval_flow_cos_loss": 0.08153306739617429,
|
| 177 |
+
"eval_flow_mse_loss": 0.3821449596860093,
|
| 178 |
+
"eval_loss": 4.515134906115597,
|
| 179 |
+
"flow/cos_sim": 0.9184669488913393,
|
| 180 |
+
"flow/improvement_ratio": 0.9950582473517553,
|
| 181 |
+
"flow/mag_ratio_mean": 0.8821974423922361,
|
| 182 |
+
"flow/mag_ratio_std": 0.09247283822937644,
|
| 183 |
+
"step": 5120
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.236478684587317,
|
| 187 |
+
"eval_bleu": 0.22356960405367263,
|
| 188 |
+
"eval_ce_clean_loss": 0.0327355340824858,
|
| 189 |
+
"eval_ce_pred_loss": 4.565925827853756,
|
| 190 |
+
"eval_flow_cos_loss": 0.08153306739617429,
|
| 191 |
+
"eval_flow_mse_loss": 0.3821449596860093,
|
| 192 |
+
"eval_loss": 4.515134906115597,
|
| 193 |
+
"eval_runtime": 181.4276,
|
| 194 |
+
"eval_samples_per_second": 154.293,
|
| 195 |
+
"eval_steps_per_second": 2.414,
|
| 196 |
+
"flow/cos_sim": 0.9184669488913393,
|
| 197 |
+
"flow/improvement_ratio": 0.9950582473517553,
|
| 198 |
+
"flow/mag_ratio_mean": 0.8821974423922361,
|
| 199 |
+
"flow/mag_ratio_std": 0.09247283822937644,
|
| 200 |
+
"step": 5120
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.2837744215047804,
|
| 204 |
+
"grad_norm": 2.1534059047698975,
|
| 205 |
+
"learning_rate": 0.00025669014822961186,
|
| 206 |
+
"loss": 4.549870491027832,
|
| 207 |
+
"step": 6144
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.2837744215047804,
|
| 211 |
+
"eval_bleu": 0.2167831701158986,
|
| 212 |
+
"eval_ce_clean_loss": 0.022042056864561285,
|
| 213 |
+
"eval_ce_pred_loss": 4.496095672045668,
|
| 214 |
+
"eval_flow_cos_loss": 0.07625704317366423,
|
| 215 |
+
"eval_flow_mse_loss": 0.4058228160964844,
|
| 216 |
+
"eval_loss": 4.473577274579435,
|
| 217 |
+
"flow/cos_sim": 0.9237429750020101,
|
| 218 |
+
"flow/improvement_ratio": 0.9947892213793106,
|
| 219 |
+
"flow/mag_ratio_mean": 0.8912639768972789,
|
| 220 |
+
"flow/mag_ratio_std": 0.08584192658872365,
|
| 221 |
+
"step": 6144
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.2837744215047804,
|
| 225 |
+
"eval_bleu": 0.2167831701158986,
|
| 226 |
+
"eval_ce_clean_loss": 0.022042056864561285,
|
| 227 |
+
"eval_ce_pred_loss": 4.496095672045668,
|
| 228 |
+
"eval_flow_cos_loss": 0.07625704317366423,
|
| 229 |
+
"eval_flow_mse_loss": 0.4058228160964844,
|
| 230 |
+
"eval_loss": 4.473577274579435,
|
| 231 |
+
"eval_runtime": 180.321,
|
| 232 |
+
"eval_samples_per_second": 155.24,
|
| 233 |
+
"eval_steps_per_second": 2.429,
|
| 234 |
+
"flow/cos_sim": 0.9237429750020101,
|
| 235 |
+
"flow/improvement_ratio": 0.9947892213793106,
|
| 236 |
+
"flow/mag_ratio_mean": 0.8912639768972789,
|
| 237 |
+
"flow/mag_ratio_std": 0.08584192658872365,
|
| 238 |
+
"step": 6144
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 0.3310701584222438,
|
| 242 |
+
"grad_norm": 2.1275017261505127,
|
| 243 |
+
"learning_rate": 0.0002390360415767374,
|
| 244 |
+
"loss": 4.411749362945557,
|
| 245 |
+
"step": 7168
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 0.3310701584222438,
|
| 249 |
+
"eval_bleu": 0.26130694526226583,
|
| 250 |
+
"eval_ce_clean_loss": 0.015259190446582355,
|
| 251 |
+
"eval_ce_pred_loss": 4.084311145081368,
|
| 252 |
+
"eval_flow_cos_loss": 0.11306819562974586,
|
| 253 |
+
"eval_flow_mse_loss": 0.5684606986094828,
|
| 254 |
+
"eval_loss": 4.274133609310133,
|
| 255 |
+
"flow/cos_sim": 0.8869318397349963,
|
| 256 |
+
"flow/improvement_ratio": 0.9916486408068165,
|
| 257 |
+
"flow/mag_ratio_mean": 0.853514781281284,
|
| 258 |
+
"flow/mag_ratio_std": 0.09556960212449504,
|
| 259 |
+
"step": 7168
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"epoch": 0.3310701584222438,
|
| 263 |
+
"eval_bleu": 0.26130694526226583,
|
| 264 |
+
"eval_ce_clean_loss": 0.015259190446582355,
|
| 265 |
+
"eval_ce_pred_loss": 4.084311145081368,
|
| 266 |
+
"eval_flow_cos_loss": 0.11306819562974586,
|
| 267 |
+
"eval_flow_mse_loss": 0.5684606986094828,
|
| 268 |
+
"eval_loss": 4.274133609310133,
|
| 269 |
+
"eval_runtime": 183.0141,
|
| 270 |
+
"eval_samples_per_second": 152.955,
|
| 271 |
+
"eval_steps_per_second": 2.393,
|
| 272 |
+
"flow/cos_sim": 0.8869318397349963,
|
| 273 |
+
"flow/improvement_ratio": 0.9916486408068165,
|
| 274 |
+
"flow/mag_ratio_mean": 0.853514781281284,
|
| 275 |
+
"flow/mag_ratio_std": 0.09556960212449504,
|
| 276 |
+
"step": 7168
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.37836589533970716,
|
| 280 |
+
"grad_norm": 2.679063081741333,
|
| 281 |
+
"learning_rate": 0.00021920458819314276,
|
| 282 |
+
"loss": 4.291924476623535,
|
| 283 |
+
"step": 8192
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.37836589533970716,
|
| 287 |
+
"eval_bleu": 0.26455338282933316,
|
| 288 |
+
"eval_ce_clean_loss": 0.010562141490759984,
|
| 289 |
+
"eval_ce_pred_loss": 4.048519775203374,
|
| 290 |
+
"eval_flow_cos_loss": 0.08972637632598071,
|
| 291 |
+
"eval_flow_mse_loss": 0.5574726984245048,
|
| 292 |
+
"eval_loss": 4.224628202447064,
|
| 293 |
+
"flow/cos_sim": 0.9102736386262118,
|
| 294 |
+
"flow/improvement_ratio": 0.9913910556601607,
|
| 295 |
+
"flow/mag_ratio_mean": 0.8761251777002256,
|
| 296 |
+
"flow/mag_ratio_std": 0.08667415052176067,
|
| 297 |
+
"step": 8192
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.37836589533970716,
|
| 301 |
+
"eval_bleu": 0.26455338282933316,
|
| 302 |
+
"eval_ce_clean_loss": 0.010562141490759984,
|
| 303 |
+
"eval_ce_pred_loss": 4.048519775203374,
|
| 304 |
+
"eval_flow_cos_loss": 0.08972637632598071,
|
| 305 |
+
"eval_flow_mse_loss": 0.5574726984245048,
|
| 306 |
+
"eval_loss": 4.224628202447064,
|
| 307 |
+
"eval_runtime": 182.7475,
|
| 308 |
+
"eval_samples_per_second": 153.179,
|
| 309 |
+
"eval_steps_per_second": 2.397,
|
| 310 |
+
"flow/cos_sim": 0.9102736386262118,
|
| 311 |
+
"flow/improvement_ratio": 0.9913910556601607,
|
| 312 |
+
"flow/mag_ratio_mean": 0.8761251777002256,
|
| 313 |
+
"flow/mag_ratio_std": 0.08667415052176067,
|
| 314 |
+
"step": 8192
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.4256616322571706,
|
| 318 |
+
"grad_norm": 3.4350733757019043,
|
| 319 |
+
"learning_rate": 0.0001976932406046495,
|
| 320 |
+
"loss": 4.231810569763184,
|
| 321 |
+
"step": 9216
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.4256616322571706,
|
| 325 |
+
"eval_bleu": 0.27369821400928834,
|
| 326 |
+
"eval_ce_clean_loss": 0.007689533357032188,
|
| 327 |
+
"eval_ce_pred_loss": 3.966488937809043,
|
| 328 |
+
"eval_flow_cos_loss": 0.08683863282203674,
|
| 329 |
+
"eval_flow_mse_loss": 0.569647965025684,
|
| 330 |
+
"eval_loss": 4.161966539409063,
|
| 331 |
+
"flow/cos_sim": 0.9131613878626802,
|
| 332 |
+
"flow/improvement_ratio": 0.9904770306800599,
|
| 333 |
+
"flow/mag_ratio_mean": 0.8949770351795301,
|
| 334 |
+
"flow/mag_ratio_std": 0.08686588956340807,
|
| 335 |
+
"step": 9216
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.4256616322571706,
|
| 339 |
+
"eval_bleu": 0.27369821400928834,
|
| 340 |
+
"eval_ce_clean_loss": 0.007689533357032188,
|
| 341 |
+
"eval_ce_pred_loss": 3.966488937809043,
|
| 342 |
+
"eval_flow_cos_loss": 0.08683863282203674,
|
| 343 |
+
"eval_flow_mse_loss": 0.569647965025684,
|
| 344 |
+
"eval_loss": 4.161966539409063,
|
| 345 |
+
"eval_runtime": 191.5369,
|
| 346 |
+
"eval_samples_per_second": 146.149,
|
| 347 |
+
"eval_steps_per_second": 2.287,
|
| 348 |
+
"flow/cos_sim": 0.9131613878626802,
|
| 349 |
+
"flow/improvement_ratio": 0.9904770306800599,
|
| 350 |
+
"flow/mag_ratio_mean": 0.8949770351795301,
|
| 351 |
+
"flow/mag_ratio_std": 0.08686588956340807,
|
| 352 |
+
"step": 9216
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.472957369174634,
|
| 356 |
+
"grad_norm": 2.2814252376556396,
|
| 357 |
+
"learning_rate": 0.00017504669739254724,
|
| 358 |
+
"loss": 4.164244174957275,
|
| 359 |
+
"step": 10240
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.472957369174634,
|
| 363 |
+
"eval_bleu": 0.30777640553962915,
|
| 364 |
+
"eval_ce_clean_loss": 0.0060966779907408375,
|
| 365 |
+
"eval_ce_pred_loss": 3.6631897802222264,
|
| 366 |
+
"eval_flow_cos_loss": 0.09066317927891805,
|
| 367 |
+
"eval_flow_mse_loss": 0.6576739563245207,
|
| 368 |
+
"eval_loss": 3.9778201345983706,
|
| 369 |
+
"flow/cos_sim": 0.9093368449439742,
|
| 370 |
+
"flow/improvement_ratio": 0.9863403809669355,
|
| 371 |
+
"flow/mag_ratio_mean": 0.8948755321437365,
|
| 372 |
+
"flow/mag_ratio_std": 0.0903660870203961,
|
| 373 |
+
"step": 10240
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.472957369174634,
|
| 377 |
+
"eval_bleu": 0.30777640553962915,
|
| 378 |
+
"eval_ce_clean_loss": 0.0060966779907408375,
|
| 379 |
+
"eval_ce_pred_loss": 3.6631897802222264,
|
| 380 |
+
"eval_flow_cos_loss": 0.09066317927891805,
|
| 381 |
+
"eval_flow_mse_loss": 0.6576739563245207,
|
| 382 |
+
"eval_loss": 3.9778201345983706,
|
| 383 |
+
"eval_runtime": 189.8476,
|
| 384 |
+
"eval_samples_per_second": 147.45,
|
| 385 |
+
"eval_steps_per_second": 2.307,
|
| 386 |
+
"flow/cos_sim": 0.9093368449439742,
|
| 387 |
+
"flow/improvement_ratio": 0.9863403809669355,
|
| 388 |
+
"flow/mag_ratio_mean": 0.8948755321437365,
|
| 389 |
+
"flow/mag_ratio_std": 0.0903660870203961,
|
| 390 |
+
"step": 10240
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 0.5202531060920974,
|
| 394 |
+
"grad_norm": 2.119964122772217,
|
| 395 |
+
"learning_rate": 0.00015177050305675404,
|
| 396 |
+
"loss": 4.065644264221191,
|
| 397 |
+
"step": 11264
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 0.5202531060920974,
|
| 401 |
+
"eval_bleu": 0.2925834655122522,
|
| 402 |
+
"eval_ce_clean_loss": 0.004753688909139986,
|
| 403 |
+
"eval_ce_pred_loss": 3.7541082803517174,
|
| 404 |
+
"eval_flow_cos_loss": 0.08232224217220528,
|
| 405 |
+
"eval_flow_mse_loss": 0.621043747554631,
|
| 406 |
+
"eval_loss": 4.020797040908849,
|
| 407 |
+
"flow/cos_sim": 0.9176777691057284,
|
| 408 |
+
"flow/improvement_ratio": 0.9826103085524416,
|
| 409 |
+
"flow/mag_ratio_mean": 0.8994121777412554,
|
| 410 |
+
"flow/mag_ratio_std": 0.09006089084360698,
|
| 411 |
+
"step": 11264
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 0.5202531060920974,
|
| 415 |
+
"eval_bleu": 0.2925834655122522,
|
| 416 |
+
"eval_ce_clean_loss": 0.004753688909139986,
|
| 417 |
+
"eval_ce_pred_loss": 3.7541082803517174,
|
| 418 |
+
"eval_flow_cos_loss": 0.08232224217220528,
|
| 419 |
+
"eval_flow_mse_loss": 0.621043747554631,
|
| 420 |
+
"eval_loss": 4.020797040908849,
|
| 421 |
+
"eval_runtime": 189.3251,
|
| 422 |
+
"eval_samples_per_second": 147.857,
|
| 423 |
+
"eval_steps_per_second": 2.313,
|
| 424 |
+
"flow/cos_sim": 0.9176777691057284,
|
| 425 |
+
"flow/improvement_ratio": 0.9826103085524416,
|
| 426 |
+
"flow/mag_ratio_mean": 0.8994121777412554,
|
| 427 |
+
"flow/mag_ratio_std": 0.09006089084360698,
|
| 428 |
+
"step": 11264
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.5675488430095608,
|
| 432 |
+
"grad_norm": 2.5909643173217773,
|
| 433 |
+
"learning_rate": 0.00012845133096612622,
|
| 434 |
+
"loss": 4.054959774017334,
|
| 435 |
+
"step": 12288
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 0.5675488430095608,
|
| 439 |
+
"eval_bleu": 0.28965271334128717,
|
| 440 |
+
"eval_ce_clean_loss": 0.004024346635361164,
|
| 441 |
+
"eval_ce_pred_loss": 3.718931865474405,
|
| 442 |
+
"eval_flow_cos_loss": 0.08415858520696697,
|
| 443 |
+
"eval_flow_mse_loss": 0.6252854074517341,
|
| 444 |
+
"eval_loss": 3.9937660802989248,
|
| 445 |
+
"flow/cos_sim": 0.9158414309699786,
|
| 446 |
+
"flow/improvement_ratio": 0.9831551257605966,
|
| 447 |
+
"flow/mag_ratio_mean": 0.8911215496934168,
|
| 448 |
+
"flow/mag_ratio_std": 0.08892078035974611,
|
| 449 |
+
"step": 12288
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 0.5675488430095608,
|
| 453 |
+
"eval_bleu": 0.28965271334128717,
|
| 454 |
+
"eval_ce_clean_loss": 0.004024346635361164,
|
| 455 |
+
"eval_ce_pred_loss": 3.718931865474405,
|
| 456 |
+
"eval_flow_cos_loss": 0.08415858520696697,
|
| 457 |
+
"eval_flow_mse_loss": 0.6252854074517341,
|
| 458 |
+
"eval_loss": 3.9937660802989248,
|
| 459 |
+
"eval_runtime": 188.6951,
|
| 460 |
+
"eval_samples_per_second": 148.35,
|
| 461 |
+
"eval_steps_per_second": 2.321,
|
| 462 |
+
"flow/cos_sim": 0.9158414309699786,
|
| 463 |
+
"flow/improvement_ratio": 0.9831551257605966,
|
| 464 |
+
"flow/mag_ratio_mean": 0.8911215496934168,
|
| 465 |
+
"flow/mag_ratio_std": 0.08892078035974611,
|
| 466 |
+
"step": 12288
|
| 467 |
+
}
|
| 468 |
+
],
|
| 469 |
+
"logging_steps": 1024,
|
| 470 |
+
"max_steps": 21651,
|
| 471 |
+
"num_input_tokens_seen": 0,
|
| 472 |
+
"num_train_epochs": 1,
|
| 473 |
+
"save_steps": 1024,
|
| 474 |
+
"stateful_callbacks": {
|
| 475 |
+
"TrainerControl": {
|
| 476 |
+
"args": {
|
| 477 |
+
"should_epoch_stop": false,
|
| 478 |
+
"should_evaluate": false,
|
| 479 |
+
"should_log": false,
|
| 480 |
+
"should_save": true,
|
| 481 |
+
"should_training_stop": false
|
| 482 |
+
},
|
| 483 |
+
"attributes": {}
|
| 484 |
+
}
|
| 485 |
+
},
|
| 486 |
+
"total_flos": 0.0,
|
| 487 |
+
"train_batch_size": 64,
|
| 488 |
+
"trial_name": null,
|
| 489 |
+
"trial_params": null
|
| 490 |
+
}
|
checkpoints-v5.1/checkpoint-12288/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e76013f70108cb4ddda27ec8328cf4ef6edec61c75334ae3d6e75eb2e082915f
|
| 3 |
+
size 5137
|