Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- checkpoints-v5/checkpoint-12288/ema.safetensors +3 -0
- checkpoints-v5/checkpoint-12288/eval_state.json +3 -0
- checkpoints-v5/checkpoint-12288/model.safetensors +3 -0
- checkpoints-v5/checkpoint-12288/optimizer.pt +3 -0
- checkpoints-v5/checkpoint-12288/rng_state.pth +3 -0
- checkpoints-v5/checkpoint-12288/scaler.pt +3 -0
- checkpoints-v5/checkpoint-12288/scheduler.pt +3 -0
- checkpoints-v5/checkpoint-12288/trainer_state.json +490 -0
- checkpoints-v5/checkpoint-12288/training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip 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
|
|
|
|
|
|
| 33 |
*.zip 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
|
checkpoints-v5/checkpoint-12288/ema.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2defc5208e124177d996dd755609c9e3757f2a1ee1c8e9f2af5bf89bd9edd29d
|
| 3 |
+
size 54599376
|
checkpoints-v5/checkpoint-12288/eval_state.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:22cfc665216306d46d674ac631e4e1d7c86ff4e652f0b919e5c0c5830ad0644e
|
| 3 |
+
size 41362527
|
checkpoints-v5/checkpoint-12288/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c66219640cb42428556fbb67d330b92a0701429c1736b06112bdb8306325d46
|
| 3 |
+
size 54599408
|
checkpoints-v5/checkpoint-12288/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4cbe31070a18449cf928de26997b37cbce3899a755132bd6a49f862bbb75a129
|
| 3 |
+
size 76550347
|
checkpoints-v5/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/checkpoint-12288/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ee9cf5cfca6c27607a4ceb97fc3ab7572a75442fb2b962c24370088b7a473bdc
|
| 3 |
+
size 1383
|
checkpoints-v5/checkpoint-12288/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:846ae5b395c49f67b65d2e1673da9babbf27b6bd69b624764425f9c10b173d5e
|
| 3 |
+
size 1465
|
checkpoints-v5/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": 4.013998985290527,
|
| 15 |
+
"learning_rate": 0.00029970703124999995,
|
| 16 |
+
"loss": 7.93059778213501,
|
| 17 |
+
"step": 1024
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.047295736917463395,
|
| 21 |
+
"eval_bleu": 0.2254043225811079,
|
| 22 |
+
"eval_ce_clean_loss": 0.2796171638927503,
|
| 23 |
+
"eval_ce_pred_loss": 4.793793409926706,
|
| 24 |
+
"eval_flow_cos_loss": 0.21001066447801242,
|
| 25 |
+
"eval_flow_mse_loss": 0.5274724085309189,
|
| 26 |
+
"eval_loss": 3.2564889513738624,
|
| 27 |
+
"flow/cos_sim": 0.7899893473272455,
|
| 28 |
+
"flow/improvement_ratio": 0.9936718939374026,
|
| 29 |
+
"flow/mag_ratio_mean": 0.691851259502646,
|
| 30 |
+
"flow/mag_ratio_std": 0.1381261397884589,
|
| 31 |
+
"step": 1024
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.047295736917463395,
|
| 35 |
+
"eval_bleu": 0.2254043225811079,
|
| 36 |
+
"eval_ce_clean_loss": 0.2796171638927503,
|
| 37 |
+
"eval_ce_pred_loss": 4.793793409926706,
|
| 38 |
+
"eval_flow_cos_loss": 0.21001066447801242,
|
| 39 |
+
"eval_flow_mse_loss": 0.5274724085309189,
|
| 40 |
+
"eval_loss": 3.2564889513738624,
|
| 41 |
+
"eval_runtime": 186.2837,
|
| 42 |
+
"eval_samples_per_second": 150.271,
|
| 43 |
+
"eval_steps_per_second": 2.351,
|
| 44 |
+
"flow/cos_sim": 0.7899893473272455,
|
| 45 |
+
"flow/improvement_ratio": 0.9936718939374026,
|
| 46 |
+
"flow/mag_ratio_mean": 0.691851259502646,
|
| 47 |
+
"flow/mag_ratio_std": 0.1381261397884589,
|
| 48 |
+
"step": 1024
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 0.09459147383492679,
|
| 52 |
+
"grad_norm": 2.68375301361084,
|
| 53 |
+
"learning_rate": 0.00029818297300322,
|
| 54 |
+
"loss": 3.0190515518188477,
|
| 55 |
+
"step": 2048
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 0.09459147383492679,
|
| 59 |
+
"eval_bleu": 0.2379161607125303,
|
| 60 |
+
"eval_ce_clean_loss": 0.048818679968720156,
|
| 61 |
+
"eval_ce_pred_loss": 4.610883573418882,
|
| 62 |
+
"eval_flow_cos_loss": 0.06802858637654347,
|
| 63 |
+
"eval_flow_mse_loss": 0.43109905474806487,
|
| 64 |
+
"eval_loss": 2.802366664420524,
|
| 65 |
+
"flow/cos_sim": 0.931971434588846,
|
| 66 |
+
"flow/improvement_ratio": 0.9953692990895275,
|
| 67 |
+
"flow/mag_ratio_mean": 0.909526935042856,
|
| 68 |
+
"flow/mag_ratio_std": 0.09037123139114141,
|
| 69 |
+
"step": 2048
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.09459147383492679,
|
| 73 |
+
"eval_bleu": 0.2379161607125303,
|
| 74 |
+
"eval_ce_clean_loss": 0.048818679968720156,
|
| 75 |
+
"eval_ce_pred_loss": 4.610883573418882,
|
| 76 |
+
"eval_flow_cos_loss": 0.06802858637654347,
|
| 77 |
+
"eval_flow_mse_loss": 0.43109905474806487,
|
| 78 |
+
"eval_loss": 2.802366664420524,
|
| 79 |
+
"eval_runtime": 179.0383,
|
| 80 |
+
"eval_samples_per_second": 156.352,
|
| 81 |
+
"eval_steps_per_second": 2.446,
|
| 82 |
+
"flow/cos_sim": 0.931971434588846,
|
| 83 |
+
"flow/improvement_ratio": 0.9953692990895275,
|
| 84 |
+
"flow/mag_ratio_mean": 0.909526935042856,
|
| 85 |
+
"flow/mag_ratio_std": 0.09037123139114141,
|
| 86 |
+
"step": 2048
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.1418872107523902,
|
| 90 |
+
"grad_norm": 1.4580802917480469,
|
| 91 |
+
"learning_rate": 0.0002927689070858589,
|
| 92 |
+
"loss": 2.7789387702941895,
|
| 93 |
+
"step": 3072
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.1418872107523902,
|
| 97 |
+
"eval_bleu": 0.2490751213264231,
|
| 98 |
+
"eval_ce_clean_loss": 0.018171085729412565,
|
| 99 |
+
"eval_ce_pred_loss": 4.420184469114155,
|
| 100 |
+
"eval_flow_cos_loss": 0.06013645735233342,
|
| 101 |
+
"eval_flow_mse_loss": 0.4371357409104909,
|
| 102 |
+
"eval_loss": 2.6804331704361797,
|
| 103 |
+
"flow/cos_sim": 0.939863565986015,
|
| 104 |
+
"flow/improvement_ratio": 0.9952474803957221,
|
| 105 |
+
"flow/mag_ratio_mean": 0.9349337605308724,
|
| 106 |
+
"flow/mag_ratio_std": 0.0872031468302692,
|
| 107 |
+
"step": 3072
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.1418872107523902,
|
| 111 |
+
"eval_bleu": 0.2490751213264231,
|
| 112 |
+
"eval_ce_clean_loss": 0.018171085729412565,
|
| 113 |
+
"eval_ce_pred_loss": 4.420184469114155,
|
| 114 |
+
"eval_flow_cos_loss": 0.06013645735233342,
|
| 115 |
+
"eval_flow_mse_loss": 0.4371357409104909,
|
| 116 |
+
"eval_loss": 2.6804331704361797,
|
| 117 |
+
"eval_runtime": 179.2795,
|
| 118 |
+
"eval_samples_per_second": 156.142,
|
| 119 |
+
"eval_steps_per_second": 2.443,
|
| 120 |
+
"flow/cos_sim": 0.939863565986015,
|
| 121 |
+
"flow/improvement_ratio": 0.9952474803957221,
|
| 122 |
+
"flow/mag_ratio_mean": 0.9349337605308724,
|
| 123 |
+
"flow/mag_ratio_std": 0.0872031468302692,
|
| 124 |
+
"step": 3072
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 0.18918294766985358,
|
| 128 |
+
"grad_norm": 1.043502926826477,
|
| 129 |
+
"learning_rate": 0.00028389952193475995,
|
| 130 |
+
"loss": 2.6741526126861572,
|
| 131 |
+
"step": 4096
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 0.18918294766985358,
|
| 135 |
+
"eval_bleu": 0.28737562974532166,
|
| 136 |
+
"eval_ce_clean_loss": 0.008730428965792026,
|
| 137 |
+
"eval_ce_pred_loss": 4.164722618447047,
|
| 138 |
+
"eval_flow_cos_loss": 0.0743819943301754,
|
| 139 |
+
"eval_flow_mse_loss": 0.48018580021923535,
|
| 140 |
+
"eval_loss": 2.5898730254064413,
|
| 141 |
+
"flow/cos_sim": 0.9256180300288004,
|
| 142 |
+
"flow/improvement_ratio": 0.9946817859122742,
|
| 143 |
+
"flow/mag_ratio_mean": 0.9113472489189339,
|
| 144 |
+
"flow/mag_ratio_std": 0.09068145650570796,
|
| 145 |
+
"step": 4096
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 0.18918294766985358,
|
| 149 |
+
"eval_bleu": 0.28737562974532166,
|
| 150 |
+
"eval_ce_clean_loss": 0.008730428965792026,
|
| 151 |
+
"eval_ce_pred_loss": 4.164722618447047,
|
| 152 |
+
"eval_flow_cos_loss": 0.0743819943301754,
|
| 153 |
+
"eval_flow_mse_loss": 0.48018580021923535,
|
| 154 |
+
"eval_loss": 2.5898730254064413,
|
| 155 |
+
"eval_runtime": 180.7231,
|
| 156 |
+
"eval_samples_per_second": 154.894,
|
| 157 |
+
"eval_steps_per_second": 2.424,
|
| 158 |
+
"flow/cos_sim": 0.9256180300288004,
|
| 159 |
+
"flow/improvement_ratio": 0.9946817859122742,
|
| 160 |
+
"flow/mag_ratio_mean": 0.9113472489189339,
|
| 161 |
+
"flow/mag_ratio_std": 0.09068145650570796,
|
| 162 |
+
"step": 4096
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 0.236478684587317,
|
| 166 |
+
"grad_norm": 1.0432350635528564,
|
| 167 |
+
"learning_rate": 0.00027177281107320826,
|
| 168 |
+
"loss": 2.5878536701202393,
|
| 169 |
+
"step": 5120
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 0.236478684587317,
|
| 173 |
+
"eval_bleu": 0.3171730575714231,
|
| 174 |
+
"eval_ce_clean_loss": 0.0047634225328065894,
|
| 175 |
+
"eval_ce_pred_loss": 3.9123527883939,
|
| 176 |
+
"eval_flow_cos_loss": 0.11630631098736367,
|
| 177 |
+
"eval_flow_mse_loss": 0.5211573920157402,
|
| 178 |
+
"eval_loss": 2.5111737806503087,
|
| 179 |
+
"flow/cos_sim": 0.8836937101736461,
|
| 180 |
+
"flow/improvement_ratio": 0.995179520213985,
|
| 181 |
+
"flow/mag_ratio_mean": 0.8669234891188199,
|
| 182 |
+
"flow/mag_ratio_std": 0.10931324717252766,
|
| 183 |
+
"step": 5120
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.236478684587317,
|
| 187 |
+
"eval_bleu": 0.3171730575714231,
|
| 188 |
+
"eval_ce_clean_loss": 0.0047634225328065894,
|
| 189 |
+
"eval_ce_pred_loss": 3.9123527883939,
|
| 190 |
+
"eval_flow_cos_loss": 0.11630631098736367,
|
| 191 |
+
"eval_flow_mse_loss": 0.5211573920157402,
|
| 192 |
+
"eval_loss": 2.5111737806503087,
|
| 193 |
+
"eval_runtime": 183.1981,
|
| 194 |
+
"eval_samples_per_second": 152.802,
|
| 195 |
+
"eval_steps_per_second": 2.391,
|
| 196 |
+
"flow/cos_sim": 0.8836937101736461,
|
| 197 |
+
"flow/improvement_ratio": 0.995179520213985,
|
| 198 |
+
"flow/mag_ratio_mean": 0.8669234891188199,
|
| 199 |
+
"flow/mag_ratio_std": 0.10931324717252766,
|
| 200 |
+
"step": 5120
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.2837744215047804,
|
| 204 |
+
"grad_norm": 1.4073700904846191,
|
| 205 |
+
"learning_rate": 0.00025669014822961186,
|
| 206 |
+
"loss": 2.5205326080322266,
|
| 207 |
+
"step": 6144
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.2837744215047804,
|
| 211 |
+
"eval_bleu": 0.3286377886298107,
|
| 212 |
+
"eval_ce_clean_loss": 0.0029047091786412642,
|
| 213 |
+
"eval_ce_pred_loss": 3.744860372586882,
|
| 214 |
+
"eval_flow_cos_loss": 0.13526482834187273,
|
| 215 |
+
"eval_flow_mse_loss": 0.5445779024465988,
|
| 216 |
+
"eval_loss": 2.4537290106080984,
|
| 217 |
+
"flow/cos_sim": 0.8647351836505002,
|
| 218 |
+
"flow/improvement_ratio": 0.9945465897860593,
|
| 219 |
+
"flow/mag_ratio_mean": 0.8419829230058139,
|
| 220 |
+
"flow/mag_ratio_std": 0.10719822894900902,
|
| 221 |
+
"step": 6144
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.2837744215047804,
|
| 225 |
+
"eval_bleu": 0.3286377886298107,
|
| 226 |
+
"eval_ce_clean_loss": 0.0029047091786412642,
|
| 227 |
+
"eval_ce_pred_loss": 3.744860372586882,
|
| 228 |
+
"eval_flow_cos_loss": 0.13526482834187273,
|
| 229 |
+
"eval_flow_mse_loss": 0.5445779024465988,
|
| 230 |
+
"eval_loss": 2.4537290106080984,
|
| 231 |
+
"eval_runtime": 183.0814,
|
| 232 |
+
"eval_samples_per_second": 152.899,
|
| 233 |
+
"eval_steps_per_second": 2.392,
|
| 234 |
+
"flow/cos_sim": 0.8647351836505002,
|
| 235 |
+
"flow/improvement_ratio": 0.9945465897860593,
|
| 236 |
+
"flow/mag_ratio_mean": 0.8419829230058139,
|
| 237 |
+
"flow/mag_ratio_std": 0.10719822894900902,
|
| 238 |
+
"step": 6144
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 0.3310701584222438,
|
| 242 |
+
"grad_norm": 0.6808182001113892,
|
| 243 |
+
"learning_rate": 0.00023901765476336221,
|
| 244 |
+
"loss": 2.4522030353546143,
|
| 245 |
+
"step": 7168
|
| 246 |
+
},
|
| 247 |
+
{
|
| 248 |
+
"epoch": 0.3310701584222438,
|
| 249 |
+
"eval_bleu": 0.36087564863431026,
|
| 250 |
+
"eval_ce_clean_loss": 0.0020003622779784804,
|
| 251 |
+
"eval_ce_pred_loss": 3.5444279462779495,
|
| 252 |
+
"eval_flow_cos_loss": 0.1795310482859067,
|
| 253 |
+
"eval_flow_mse_loss": 0.5883507338696963,
|
| 254 |
+
"eval_loss": 2.4074478285497727,
|
| 255 |
+
"flow/cos_sim": 0.8204689798834117,
|
| 256 |
+
"flow/improvement_ratio": 0.9948837053558054,
|
| 257 |
+
"flow/mag_ratio_mean": 0.7740725910282571,
|
| 258 |
+
"flow/mag_ratio_std": 0.12248109917254209,
|
| 259 |
+
"step": 7168
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"epoch": 0.3310701584222438,
|
| 263 |
+
"eval_bleu": 0.36087564863431026,
|
| 264 |
+
"eval_ce_clean_loss": 0.0020003622779784804,
|
| 265 |
+
"eval_ce_pred_loss": 3.5444279462779495,
|
| 266 |
+
"eval_flow_cos_loss": 0.1795310482859067,
|
| 267 |
+
"eval_flow_mse_loss": 0.5883507338696963,
|
| 268 |
+
"eval_loss": 2.4074478285497727,
|
| 269 |
+
"eval_runtime": 189.0036,
|
| 270 |
+
"eval_samples_per_second": 148.108,
|
| 271 |
+
"eval_steps_per_second": 2.317,
|
| 272 |
+
"flow/cos_sim": 0.8204689798834117,
|
| 273 |
+
"flow/improvement_ratio": 0.9948837053558054,
|
| 274 |
+
"flow/mag_ratio_mean": 0.7740725910282571,
|
| 275 |
+
"flow/mag_ratio_std": 0.12248109917254209,
|
| 276 |
+
"step": 7168
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.37836589533970716,
|
| 280 |
+
"grad_norm": 0.8293004035949707,
|
| 281 |
+
"learning_rate": 0.00021918431840685083,
|
| 282 |
+
"loss": 2.415977954864502,
|
| 283 |
+
"step": 8192
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.37836589533970716,
|
| 287 |
+
"eval_bleu": 0.3942637509636107,
|
| 288 |
+
"eval_ce_clean_loss": 0.0015604201352160496,
|
| 289 |
+
"eval_ce_pred_loss": 3.315679441848302,
|
| 290 |
+
"eval_flow_cos_loss": 0.2214143528649796,
|
| 291 |
+
"eval_flow_mse_loss": 0.6519387753586791,
|
| 292 |
+
"eval_loss": 2.3666924983943436,
|
| 293 |
+
"flow/cos_sim": 0.7785856559124167,
|
| 294 |
+
"flow/improvement_ratio": 0.9936508686030836,
|
| 295 |
+
"flow/mag_ratio_mean": 0.7346892050684315,
|
| 296 |
+
"flow/mag_ratio_std": 0.1360737154234762,
|
| 297 |
+
"step": 8192
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.37836589533970716,
|
| 301 |
+
"eval_bleu": 0.3942637509636107,
|
| 302 |
+
"eval_ce_clean_loss": 0.0015604201352160496,
|
| 303 |
+
"eval_ce_pred_loss": 3.315679441848302,
|
| 304 |
+
"eval_flow_cos_loss": 0.2214143528649796,
|
| 305 |
+
"eval_flow_mse_loss": 0.6519387753586791,
|
| 306 |
+
"eval_loss": 2.3666924983943436,
|
| 307 |
+
"eval_runtime": 185.161,
|
| 308 |
+
"eval_samples_per_second": 151.182,
|
| 309 |
+
"eval_steps_per_second": 2.366,
|
| 310 |
+
"flow/cos_sim": 0.7785856559124167,
|
| 311 |
+
"flow/improvement_ratio": 0.9936508686030836,
|
| 312 |
+
"flow/mag_ratio_mean": 0.7346892050684315,
|
| 313 |
+
"flow/mag_ratio_std": 0.1360737154234762,
|
| 314 |
+
"step": 8192
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.4256616322571706,
|
| 318 |
+
"grad_norm": 0.7353112101554871,
|
| 319 |
+
"learning_rate": 0.0001976932406046495,
|
| 320 |
+
"loss": 2.399784803390503,
|
| 321 |
+
"step": 9216
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.4256616322571706,
|
| 325 |
+
"eval_bleu": 0.3998534289221981,
|
| 326 |
+
"eval_ce_clean_loss": 0.0012517906730888533,
|
| 327 |
+
"eval_ce_pred_loss": 3.2301429374032913,
|
| 328 |
+
"eval_flow_cos_loss": 0.2110011734442624,
|
| 329 |
+
"eval_flow_mse_loss": 0.6800476714084137,
|
| 330 |
+
"eval_loss": 2.349121227384158,
|
| 331 |
+
"flow/cos_sim": 0.7889988516291527,
|
| 332 |
+
"flow/improvement_ratio": 0.9947260159607891,
|
| 333 |
+
"flow/mag_ratio_mean": 0.7546588749918219,
|
| 334 |
+
"flow/mag_ratio_std": 0.1336971542640636,
|
| 335 |
+
"step": 9216
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.4256616322571706,
|
| 339 |
+
"eval_bleu": 0.3998534289221981,
|
| 340 |
+
"eval_ce_clean_loss": 0.0012517906730888533,
|
| 341 |
+
"eval_ce_pred_loss": 3.2301429374032913,
|
| 342 |
+
"eval_flow_cos_loss": 0.2110011734442624,
|
| 343 |
+
"eval_flow_mse_loss": 0.6800476714084137,
|
| 344 |
+
"eval_loss": 2.349121227384158,
|
| 345 |
+
"eval_runtime": 183.7009,
|
| 346 |
+
"eval_samples_per_second": 152.384,
|
| 347 |
+
"eval_steps_per_second": 2.384,
|
| 348 |
+
"flow/cos_sim": 0.7889988516291527,
|
| 349 |
+
"flow/improvement_ratio": 0.9947260159607891,
|
| 350 |
+
"flow/mag_ratio_mean": 0.7546588749918219,
|
| 351 |
+
"flow/mag_ratio_std": 0.1336971542640636,
|
| 352 |
+
"step": 9216
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.472957369174634,
|
| 356 |
+
"grad_norm": 0.8551133871078491,
|
| 357 |
+
"learning_rate": 0.00017502417211070142,
|
| 358 |
+
"loss": 2.3940861225128174,
|
| 359 |
+
"step": 10240
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.472957369174634,
|
| 363 |
+
"eval_bleu": 0.4267550667680489,
|
| 364 |
+
"eval_ce_clean_loss": 0.0010826060028708716,
|
| 365 |
+
"eval_ce_pred_loss": 3.04460582885568,
|
| 366 |
+
"eval_flow_cos_loss": 0.27040740272634106,
|
| 367 |
+
"eval_flow_mse_loss": 0.7608528980925747,
|
| 368 |
+
"eval_loss": 2.351840272341689,
|
| 369 |
+
"flow/cos_sim": 0.7295926203738609,
|
| 370 |
+
"flow/improvement_ratio": 0.9943434236800834,
|
| 371 |
+
"flow/mag_ratio_mean": 0.6815646335686723,
|
| 372 |
+
"flow/mag_ratio_std": 0.15056844773493946,
|
| 373 |
+
"step": 10240
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.472957369174634,
|
| 377 |
+
"eval_bleu": 0.4267550667680489,
|
| 378 |
+
"eval_ce_clean_loss": 0.0010826060028708716,
|
| 379 |
+
"eval_ce_pred_loss": 3.04460582885568,
|
| 380 |
+
"eval_flow_cos_loss": 0.27040740272634106,
|
| 381 |
+
"eval_flow_mse_loss": 0.7608528980925747,
|
| 382 |
+
"eval_loss": 2.351840272341689,
|
| 383 |
+
"eval_runtime": 183.7516,
|
| 384 |
+
"eval_samples_per_second": 152.342,
|
| 385 |
+
"eval_steps_per_second": 2.384,
|
| 386 |
+
"flow/cos_sim": 0.7295926203738609,
|
| 387 |
+
"flow/improvement_ratio": 0.9943434236800834,
|
| 388 |
+
"flow/mag_ratio_mean": 0.6815646335686723,
|
| 389 |
+
"flow/mag_ratio_std": 0.15056844773493946,
|
| 390 |
+
"step": 10240
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 0.5202531060920974,
|
| 394 |
+
"grad_norm": 1.0387604236602783,
|
| 395 |
+
"learning_rate": 0.00015174765889655888,
|
| 396 |
+
"loss": 2.3844668865203857,
|
| 397 |
+
"step": 11264
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 0.5202531060920974,
|
| 401 |
+
"eval_bleu": 0.4113314804835657,
|
| 402 |
+
"eval_ce_clean_loss": 0.0009574266697204226,
|
| 403 |
+
"eval_ce_pred_loss": 3.012512480287247,
|
| 404 |
+
"eval_flow_cos_loss": 0.2047049244312935,
|
| 405 |
+
"eval_flow_mse_loss": 0.7820947959542819,
|
| 406 |
+
"eval_loss": 2.3404846879989587,
|
| 407 |
+
"flow/cos_sim": 0.7952951010503725,
|
| 408 |
+
"flow/improvement_ratio": 0.9946630915550336,
|
| 409 |
+
"flow/mag_ratio_mean": 0.771922899979979,
|
| 410 |
+
"flow/mag_ratio_std": 0.1377742688541543,
|
| 411 |
+
"step": 11264
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 0.5202531060920974,
|
| 415 |
+
"eval_bleu": 0.4113314804835657,
|
| 416 |
+
"eval_ce_clean_loss": 0.0009574266697204226,
|
| 417 |
+
"eval_ce_pred_loss": 3.012512480287247,
|
| 418 |
+
"eval_flow_cos_loss": 0.2047049244312935,
|
| 419 |
+
"eval_flow_mse_loss": 0.7820947959542819,
|
| 420 |
+
"eval_loss": 2.3404846879989587,
|
| 421 |
+
"eval_runtime": 183.6789,
|
| 422 |
+
"eval_samples_per_second": 152.402,
|
| 423 |
+
"eval_steps_per_second": 2.385,
|
| 424 |
+
"flow/cos_sim": 0.7952951010503725,
|
| 425 |
+
"flow/improvement_ratio": 0.9946630915550336,
|
| 426 |
+
"flow/mag_ratio_mean": 0.771922899979979,
|
| 427 |
+
"flow/mag_ratio_std": 0.1377742688541543,
|
| 428 |
+
"step": 11264
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.5675488430095608,
|
| 432 |
+
"grad_norm": 1.0685348510742188,
|
| 433 |
+
"learning_rate": 0.0001284287224539987,
|
| 434 |
+
"loss": 2.3792426586151123,
|
| 435 |
+
"step": 12288
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 0.5675488430095608,
|
| 439 |
+
"eval_bleu": 0.43554170247266144,
|
| 440 |
+
"eval_ce_clean_loss": 0.0008726873317618188,
|
| 441 |
+
"eval_ce_pred_loss": 2.8611030374487787,
|
| 442 |
+
"eval_flow_cos_loss": 0.1863578746444014,
|
| 443 |
+
"eval_flow_mse_loss": 0.8412681570336155,
|
| 444 |
+
"eval_loss": 2.3192818273692373,
|
| 445 |
+
"flow/cos_sim": 0.8136421497826163,
|
| 446 |
+
"flow/improvement_ratio": 0.9942930025052806,
|
| 447 |
+
"flow/mag_ratio_mean": 0.8013964615183878,
|
| 448 |
+
"flow/mag_ratio_std": 0.1349830417872564,
|
| 449 |
+
"step": 12288
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 0.5675488430095608,
|
| 453 |
+
"eval_bleu": 0.43554170247266144,
|
| 454 |
+
"eval_ce_clean_loss": 0.0008726873317618188,
|
| 455 |
+
"eval_ce_pred_loss": 2.8611030374487787,
|
| 456 |
+
"eval_flow_cos_loss": 0.1863578746444014,
|
| 457 |
+
"eval_flow_mse_loss": 0.8412681570336155,
|
| 458 |
+
"eval_loss": 2.3192818273692373,
|
| 459 |
+
"eval_runtime": 183.8808,
|
| 460 |
+
"eval_samples_per_second": 152.234,
|
| 461 |
+
"eval_steps_per_second": 2.382,
|
| 462 |
+
"flow/cos_sim": 0.8136421497826163,
|
| 463 |
+
"flow/improvement_ratio": 0.9942930025052806,
|
| 464 |
+
"flow/mag_ratio_mean": 0.8013964615183878,
|
| 465 |
+
"flow/mag_ratio_std": 0.1349830417872564,
|
| 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/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
|