Upload folder using huggingface_hub
Browse files- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +560 -60
- training_args.bin +1 -1
adapter_config.json
CHANGED
|
@@ -14,7 +14,7 @@
|
|
| 14 |
"loftq_config": {},
|
| 15 |
"lora_alpha": 112,
|
| 16 |
"lora_bias": false,
|
| 17 |
-
"lora_dropout": 0.
|
| 18 |
"megatron_config": null,
|
| 19 |
"megatron_core": "megatron.core",
|
| 20 |
"modules_to_save": null,
|
|
@@ -23,10 +23,10 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
| 26 |
"down_proj",
|
| 27 |
"qkv_proj",
|
| 28 |
-
"o_proj"
|
| 29 |
-
"gate_up_proj"
|
| 30 |
],
|
| 31 |
"task_type": "CAUSAL_LM",
|
| 32 |
"use_dora": false,
|
|
|
|
| 14 |
"loftq_config": {},
|
| 15 |
"lora_alpha": 112,
|
| 16 |
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0.1,
|
| 18 |
"megatron_config": null,
|
| 19 |
"megatron_core": "megatron.core",
|
| 20 |
"modules_to_save": null,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
+
"gate_up_proj",
|
| 27 |
"down_proj",
|
| 28 |
"qkv_proj",
|
| 29 |
+
"o_proj"
|
|
|
|
| 30 |
],
|
| 31 |
"task_type": "CAUSAL_LM",
|
| 32 |
"use_dora": false,
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 322996232
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ef79a75800f862f4e0fd92d66308bae954fcf321bde1c5dbf47d3acef07c03b
|
| 3 |
size 322996232
|
optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 646142667
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a27c659290fdac5e7ec3deaaf773d7831bb182d85a453783d32fb3b42f3b2526
|
| 3 |
size 646142667
|
rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14645
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f01e6fa000027d3e605db84f7de61a67a161a02e812c74c22a886d0bd96eb5d4
|
| 3 |
size 14645
|
scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1465
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8785418585651bef269ecd0dbf2cde8c7100f2cba09bc9ef71d7b7bd8cb2c744
|
| 3 |
size 1465
|
trainer_state.json
CHANGED
|
@@ -2,106 +2,606 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch":
|
| 6 |
"eval_steps": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
-
"entropy":
|
| 14 |
-
"epoch": 0.
|
| 15 |
-
"grad_norm":
|
| 16 |
"learning_rate": 0.0,
|
| 17 |
-
"loss": 2.
|
| 18 |
-
"mean_token_accuracy": 0.
|
| 19 |
-
"num_tokens":
|
| 20 |
"step": 1
|
| 21 |
},
|
| 22 |
{
|
| 23 |
-
"entropy":
|
| 24 |
-
"epoch": 0.
|
| 25 |
-
"grad_norm":
|
| 26 |
"learning_rate": 3.3333333333333333e-06,
|
| 27 |
-
"loss": 2.
|
| 28 |
-
"mean_token_accuracy": 0.
|
| 29 |
-
"num_tokens":
|
| 30 |
"step": 2
|
| 31 |
},
|
| 32 |
{
|
| 33 |
-
"entropy": 2.
|
| 34 |
-
"epoch":
|
| 35 |
-
"grad_norm":
|
| 36 |
"learning_rate": 6.666666666666667e-06,
|
| 37 |
-
"loss": 2.
|
| 38 |
-
"mean_token_accuracy": 0.
|
| 39 |
-
"num_tokens":
|
| 40 |
"step": 3
|
| 41 |
},
|
| 42 |
{
|
| 43 |
-
"entropy": 2.
|
| 44 |
-
"epoch":
|
| 45 |
-
"grad_norm":
|
| 46 |
"learning_rate": 1e-05,
|
| 47 |
-
"loss": 2.
|
| 48 |
-
"mean_token_accuracy": 0.
|
| 49 |
-
"num_tokens":
|
| 50 |
"step": 4
|
| 51 |
},
|
| 52 |
{
|
| 53 |
-
"entropy": 2.
|
| 54 |
-
"epoch":
|
| 55 |
-
"grad_norm":
|
| 56 |
"learning_rate": 1.3333333333333333e-05,
|
| 57 |
-
"loss":
|
| 58 |
-
"mean_token_accuracy": 0.
|
| 59 |
-
"num_tokens":
|
| 60 |
"step": 5
|
| 61 |
},
|
| 62 |
{
|
| 63 |
-
"entropy": 2.
|
| 64 |
-
"epoch":
|
| 65 |
-
"grad_norm":
|
| 66 |
"learning_rate": 1.6666666666666667e-05,
|
| 67 |
-
"loss": 1.
|
| 68 |
-
"mean_token_accuracy": 0.
|
| 69 |
-
"num_tokens":
|
| 70 |
"step": 6
|
| 71 |
},
|
| 72 |
{
|
| 73 |
-
"entropy": 2.
|
| 74 |
-
"epoch":
|
| 75 |
-
"grad_norm":
|
| 76 |
"learning_rate": 2e-05,
|
| 77 |
-
"loss": 1.
|
| 78 |
-
"mean_token_accuracy": 0.
|
| 79 |
-
"num_tokens":
|
| 80 |
"step": 7
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"entropy": 2.
|
| 84 |
-
"epoch":
|
| 85 |
-
"grad_norm":
|
| 86 |
"learning_rate": 2.3333333333333336e-05,
|
| 87 |
-
"loss": 1.
|
| 88 |
-
"mean_token_accuracy": 0.
|
| 89 |
-
"num_tokens":
|
| 90 |
"step": 8
|
| 91 |
},
|
| 92 |
{
|
| 93 |
-
"entropy": 2.
|
| 94 |
-
"epoch":
|
| 95 |
-
"grad_norm":
|
| 96 |
"learning_rate": 2.6666666666666667e-05,
|
| 97 |
-
"loss": 1.
|
| 98 |
-
"mean_token_accuracy": 0.
|
| 99 |
-
"num_tokens":
|
| 100 |
"step": 9
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 101 |
}
|
| 102 |
],
|
| 103 |
"logging_steps": 1,
|
| 104 |
-
"max_steps":
|
| 105 |
"num_input_tokens_seen": 0,
|
| 106 |
"num_train_epochs": 3,
|
| 107 |
"save_steps": 1,
|
|
@@ -112,13 +612,13 @@
|
|
| 112 |
"should_evaluate": false,
|
| 113 |
"should_log": false,
|
| 114 |
"should_save": true,
|
| 115 |
-
"should_training_stop":
|
| 116 |
},
|
| 117 |
"attributes": {}
|
| 118 |
}
|
| 119 |
},
|
| 120 |
-
"total_flos":
|
| 121 |
-
"train_batch_size":
|
| 122 |
"trial_name": null,
|
| 123 |
"trial_params": null
|
| 124 |
}
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 2.8395061728395063,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 59,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
+
"entropy": 2.1045966744422913,
|
| 14 |
+
"epoch": 0.04938271604938271,
|
| 15 |
+
"grad_norm": 17.07461929321289,
|
| 16 |
"learning_rate": 0.0,
|
| 17 |
+
"loss": 2.4474,
|
| 18 |
+
"mean_token_accuracy": 0.44178610295057297,
|
| 19 |
+
"num_tokens": 2014.0,
|
| 20 |
"step": 1
|
| 21 |
},
|
| 22 |
{
|
| 23 |
+
"entropy": 1.944445788860321,
|
| 24 |
+
"epoch": 0.09876543209876543,
|
| 25 |
+
"grad_norm": 13.418954849243164,
|
| 26 |
"learning_rate": 3.3333333333333333e-06,
|
| 27 |
+
"loss": 2.153,
|
| 28 |
+
"mean_token_accuracy": 0.4885662570595741,
|
| 29 |
+
"num_tokens": 4384.0,
|
| 30 |
"step": 2
|
| 31 |
},
|
| 32 |
{
|
| 33 |
+
"entropy": 2.1375502943992615,
|
| 34 |
+
"epoch": 0.14814814814814814,
|
| 35 |
+
"grad_norm": 13.263312339782715,
|
| 36 |
"learning_rate": 6.666666666666667e-06,
|
| 37 |
+
"loss": 2.3265,
|
| 38 |
+
"mean_token_accuracy": 0.4580386020243168,
|
| 39 |
+
"num_tokens": 6448.0,
|
| 40 |
"step": 3
|
| 41 |
},
|
| 42 |
{
|
| 43 |
+
"entropy": 2.0441721975803375,
|
| 44 |
+
"epoch": 0.19753086419753085,
|
| 45 |
+
"grad_norm": 12.733418464660645,
|
| 46 |
"learning_rate": 1e-05,
|
| 47 |
+
"loss": 2.0155,
|
| 48 |
+
"mean_token_accuracy": 0.4843377247452736,
|
| 49 |
+
"num_tokens": 8532.0,
|
| 50 |
"step": 4
|
| 51 |
},
|
| 52 |
{
|
| 53 |
+
"entropy": 2.224354177713394,
|
| 54 |
+
"epoch": 0.24691358024691357,
|
| 55 |
+
"grad_norm": 6.445976734161377,
|
| 56 |
"learning_rate": 1.3333333333333333e-05,
|
| 57 |
+
"loss": 1.833,
|
| 58 |
+
"mean_token_accuracy": 0.4942014664411545,
|
| 59 |
+
"num_tokens": 11973.0,
|
| 60 |
"step": 5
|
| 61 |
},
|
| 62 |
{
|
| 63 |
+
"entropy": 2.1060016453266144,
|
| 64 |
+
"epoch": 0.2962962962962963,
|
| 65 |
+
"grad_norm": 6.344198226928711,
|
| 66 |
"learning_rate": 1.6666666666666667e-05,
|
| 67 |
+
"loss": 1.9109,
|
| 68 |
+
"mean_token_accuracy": 0.5272197648882866,
|
| 69 |
+
"num_tokens": 14982.0,
|
| 70 |
"step": 6
|
| 71 |
},
|
| 72 |
{
|
| 73 |
+
"entropy": 2.2028936445713043,
|
| 74 |
+
"epoch": 0.345679012345679,
|
| 75 |
+
"grad_norm": 7.122912406921387,
|
| 76 |
"learning_rate": 2e-05,
|
| 77 |
+
"loss": 1.8414,
|
| 78 |
+
"mean_token_accuracy": 0.5166565254330635,
|
| 79 |
+
"num_tokens": 17566.0,
|
| 80 |
"step": 7
|
| 81 |
},
|
| 82 |
{
|
| 83 |
+
"entropy": 2.2383397221565247,
|
| 84 |
+
"epoch": 0.3950617283950617,
|
| 85 |
+
"grad_norm": 6.923185348510742,
|
| 86 |
"learning_rate": 2.3333333333333336e-05,
|
| 87 |
+
"loss": 1.9645,
|
| 88 |
+
"mean_token_accuracy": 0.4945147931575775,
|
| 89 |
+
"num_tokens": 19825.0,
|
| 90 |
"step": 8
|
| 91 |
},
|
| 92 |
{
|
| 93 |
+
"entropy": 2.2687272429466248,
|
| 94 |
+
"epoch": 0.4444444444444444,
|
| 95 |
+
"grad_norm": 6.454328536987305,
|
| 96 |
"learning_rate": 2.6666666666666667e-05,
|
| 97 |
+
"loss": 1.9193,
|
| 98 |
+
"mean_token_accuracy": 0.520270973443985,
|
| 99 |
+
"num_tokens": 21855.0,
|
| 100 |
"step": 9
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 2.137419432401657,
|
| 104 |
+
"epoch": 0.49382716049382713,
|
| 105 |
+
"grad_norm": 6.179715156555176,
|
| 106 |
+
"learning_rate": 3e-05,
|
| 107 |
+
"loss": 1.7229,
|
| 108 |
+
"mean_token_accuracy": 0.5469484068453312,
|
| 109 |
+
"num_tokens": 24405.0,
|
| 110 |
+
"step": 10
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"entropy": 2.153471812605858,
|
| 114 |
+
"epoch": 0.5432098765432098,
|
| 115 |
+
"grad_norm": 6.750667572021484,
|
| 116 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 117 |
+
"loss": 1.7749,
|
| 118 |
+
"mean_token_accuracy": 0.5488381646573544,
|
| 119 |
+
"num_tokens": 26247.0,
|
| 120 |
+
"step": 11
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"entropy": 2.0210573077201843,
|
| 124 |
+
"epoch": 0.5925925925925926,
|
| 125 |
+
"grad_norm": 5.751638412475586,
|
| 126 |
+
"learning_rate": 3.6666666666666666e-05,
|
| 127 |
+
"loss": 1.7508,
|
| 128 |
+
"mean_token_accuracy": 0.5483265519142151,
|
| 129 |
+
"num_tokens": 28315.0,
|
| 130 |
+
"step": 12
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"entropy": 2.0588729083538055,
|
| 134 |
+
"epoch": 0.6419753086419753,
|
| 135 |
+
"grad_norm": 6.749085903167725,
|
| 136 |
+
"learning_rate": 4e-05,
|
| 137 |
+
"loss": 1.78,
|
| 138 |
+
"mean_token_accuracy": 0.5516550652682781,
|
| 139 |
+
"num_tokens": 30028.0,
|
| 140 |
+
"step": 13
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"entropy": 1.8380699753761292,
|
| 144 |
+
"epoch": 0.691358024691358,
|
| 145 |
+
"grad_norm": 4.831390380859375,
|
| 146 |
+
"learning_rate": 4.3333333333333334e-05,
|
| 147 |
+
"loss": 1.639,
|
| 148 |
+
"mean_token_accuracy": 0.5657348707318306,
|
| 149 |
+
"num_tokens": 33151.0,
|
| 150 |
+
"step": 14
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"entropy": 2.002317950129509,
|
| 154 |
+
"epoch": 0.7407407407407407,
|
| 155 |
+
"grad_norm": 6.0173773765563965,
|
| 156 |
+
"learning_rate": 4.666666666666667e-05,
|
| 157 |
+
"loss": 1.6788,
|
| 158 |
+
"mean_token_accuracy": 0.5597697757184505,
|
| 159 |
+
"num_tokens": 35005.0,
|
| 160 |
+
"step": 15
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"entropy": 2.2061654031276703,
|
| 164 |
+
"epoch": 0.7901234567901234,
|
| 165 |
+
"grad_norm": 6.6986517906188965,
|
| 166 |
+
"learning_rate": 5e-05,
|
| 167 |
+
"loss": 1.7774,
|
| 168 |
+
"mean_token_accuracy": 0.5585966594517231,
|
| 169 |
+
"num_tokens": 36505.0,
|
| 170 |
+
"step": 16
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"entropy": 2.003757819533348,
|
| 174 |
+
"epoch": 0.8395061728395061,
|
| 175 |
+
"grad_norm": 6.035629749298096,
|
| 176 |
+
"learning_rate": 4.994647308096509e-05,
|
| 177 |
+
"loss": 1.657,
|
| 178 |
+
"mean_token_accuracy": 0.5558704920113087,
|
| 179 |
+
"num_tokens": 38467.0,
|
| 180 |
+
"step": 17
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"entropy": 1.9430343508720398,
|
| 184 |
+
"epoch": 0.8888888888888888,
|
| 185 |
+
"grad_norm": 5.070599555969238,
|
| 186 |
+
"learning_rate": 4.9786121534345265e-05,
|
| 187 |
+
"loss": 1.6259,
|
| 188 |
+
"mean_token_accuracy": 0.5617526397109032,
|
| 189 |
+
"num_tokens": 40889.0,
|
| 190 |
+
"step": 18
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"entropy": 2.037708967924118,
|
| 194 |
+
"epoch": 0.9382716049382716,
|
| 195 |
+
"grad_norm": 5.155577182769775,
|
| 196 |
+
"learning_rate": 4.951963201008076e-05,
|
| 197 |
+
"loss": 1.5762,
|
| 198 |
+
"mean_token_accuracy": 0.5841848030686378,
|
| 199 |
+
"num_tokens": 43002.0,
|
| 200 |
+
"step": 19
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"entropy": 2.0400605648756027,
|
| 204 |
+
"epoch": 0.9876543209876543,
|
| 205 |
+
"grad_norm": 4.773712635040283,
|
| 206 |
+
"learning_rate": 4.914814565722671e-05,
|
| 207 |
+
"loss": 1.5847,
|
| 208 |
+
"mean_token_accuracy": 0.5751754343509674,
|
| 209 |
+
"num_tokens": 45100.0,
|
| 210 |
+
"step": 20
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"entropy": 1.6524975299835205,
|
| 214 |
+
"epoch": 1.0,
|
| 215 |
+
"grad_norm": 10.611732482910156,
|
| 216 |
+
"learning_rate": 4.867325323737765e-05,
|
| 217 |
+
"loss": 1.3868,
|
| 218 |
+
"mean_token_accuracy": 0.6146115064620972,
|
| 219 |
+
"num_tokens": 45620.0,
|
| 220 |
+
"step": 21
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"entropy": 1.9145531356334686,
|
| 224 |
+
"epoch": 1.0493827160493827,
|
| 225 |
+
"grad_norm": 4.789498805999756,
|
| 226 |
+
"learning_rate": 4.8096988312782174e-05,
|
| 227 |
+
"loss": 1.2313,
|
| 228 |
+
"mean_token_accuracy": 0.669404037296772,
|
| 229 |
+
"num_tokens": 47479.0,
|
| 230 |
+
"step": 22
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"entropy": 1.7801827937364578,
|
| 234 |
+
"epoch": 1.0987654320987654,
|
| 235 |
+
"grad_norm": 4.739726543426514,
|
| 236 |
+
"learning_rate": 4.742181853831721e-05,
|
| 237 |
+
"loss": 1.26,
|
| 238 |
+
"mean_token_accuracy": 0.652519591152668,
|
| 239 |
+
"num_tokens": 49530.0,
|
| 240 |
+
"step": 23
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"entropy": 1.6698480248451233,
|
| 244 |
+
"epoch": 1.1481481481481481,
|
| 245 |
+
"grad_norm": 4.931276798248291,
|
| 246 |
+
"learning_rate": 4.665063509461097e-05,
|
| 247 |
+
"loss": 1.2183,
|
| 248 |
+
"mean_token_accuracy": 0.6311887428164482,
|
| 249 |
+
"num_tokens": 51795.0,
|
| 250 |
+
"step": 24
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"entropy": 1.6189886331558228,
|
| 254 |
+
"epoch": 1.1975308641975309,
|
| 255 |
+
"grad_norm": 4.8303542137146,
|
| 256 |
+
"learning_rate": 4.5786740307563636e-05,
|
| 257 |
+
"loss": 1.2323,
|
| 258 |
+
"mean_token_accuracy": 0.6584680005908012,
|
| 259 |
+
"num_tokens": 53775.0,
|
| 260 |
+
"step": 25
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"entropy": 1.7246621996164322,
|
| 264 |
+
"epoch": 1.2469135802469136,
|
| 265 |
+
"grad_norm": 4.690735340118408,
|
| 266 |
+
"learning_rate": 4.4833833507280884e-05,
|
| 267 |
+
"loss": 1.2359,
|
| 268 |
+
"mean_token_accuracy": 0.6399939209222794,
|
| 269 |
+
"num_tokens": 56079.0,
|
| 270 |
+
"step": 26
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"entropy": 1.5530678927898407,
|
| 274 |
+
"epoch": 1.2962962962962963,
|
| 275 |
+
"grad_norm": 4.586762428283691,
|
| 276 |
+
"learning_rate": 4.379599518697444e-05,
|
| 277 |
+
"loss": 1.2253,
|
| 278 |
+
"mean_token_accuracy": 0.6523294448852539,
|
| 279 |
+
"num_tokens": 58349.0,
|
| 280 |
+
"step": 27
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"entropy": 1.551697015762329,
|
| 284 |
+
"epoch": 1.345679012345679,
|
| 285 |
+
"grad_norm": 4.633914947509766,
|
| 286 |
+
"learning_rate": 4.267766952966369e-05,
|
| 287 |
+
"loss": 1.1635,
|
| 288 |
+
"mean_token_accuracy": 0.6726551949977875,
|
| 289 |
+
"num_tokens": 60570.0,
|
| 290 |
+
"step": 28
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"entropy": 1.6292523592710495,
|
| 294 |
+
"epoch": 1.3950617283950617,
|
| 295 |
+
"grad_norm": 5.112277507781982,
|
| 296 |
+
"learning_rate": 4.148364537750172e-05,
|
| 297 |
+
"loss": 1.2572,
|
| 298 |
+
"mean_token_accuracy": 0.6387738659977913,
|
| 299 |
+
"num_tokens": 62650.0,
|
| 300 |
+
"step": 29
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"entropy": 1.4799976348876953,
|
| 304 |
+
"epoch": 1.4444444444444444,
|
| 305 |
+
"grad_norm": 4.31527042388916,
|
| 306 |
+
"learning_rate": 4.021903572521802e-05,
|
| 307 |
+
"loss": 1.1865,
|
| 308 |
+
"mean_token_accuracy": 0.6671764701604843,
|
| 309 |
+
"num_tokens": 65419.0,
|
| 310 |
+
"step": 30
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"entropy": 1.549431949853897,
|
| 314 |
+
"epoch": 1.4938271604938271,
|
| 315 |
+
"grad_norm": 4.670032024383545,
|
| 316 |
+
"learning_rate": 3.888925582549006e-05,
|
| 317 |
+
"loss": 1.0756,
|
| 318 |
+
"mean_token_accuracy": 0.6905995309352875,
|
| 319 |
+
"num_tokens": 67644.0,
|
| 320 |
+
"step": 31
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"entropy": 1.5958464741706848,
|
| 324 |
+
"epoch": 1.5432098765432098,
|
| 325 |
+
"grad_norm": 5.251377582550049,
|
| 326 |
+
"learning_rate": 3.7500000000000003e-05,
|
| 327 |
+
"loss": 1.1905,
|
| 328 |
+
"mean_token_accuracy": 0.6532313749194145,
|
| 329 |
+
"num_tokens": 69764.0,
|
| 330 |
+
"step": 32
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"entropy": 1.6538591533899307,
|
| 334 |
+
"epoch": 1.5925925925925926,
|
| 335 |
+
"grad_norm": 5.467432022094727,
|
| 336 |
+
"learning_rate": 3.6057217255475034e-05,
|
| 337 |
+
"loss": 1.1792,
|
| 338 |
+
"mean_token_accuracy": 0.6628076210618019,
|
| 339 |
+
"num_tokens": 71383.0,
|
| 340 |
+
"step": 33
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"entropy": 1.5740457475185394,
|
| 344 |
+
"epoch": 1.6419753086419753,
|
| 345 |
+
"grad_norm": 5.274950981140137,
|
| 346 |
+
"learning_rate": 3.456708580912725e-05,
|
| 347 |
+
"loss": 1.1839,
|
| 348 |
+
"mean_token_accuracy": 0.6636194065213203,
|
| 349 |
+
"num_tokens": 73330.0,
|
| 350 |
+
"step": 34
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"entropy": 1.4796217530965805,
|
| 354 |
+
"epoch": 1.691358024691358,
|
| 355 |
+
"grad_norm": 4.721081256866455,
|
| 356 |
+
"learning_rate": 3.303598663257904e-05,
|
| 357 |
+
"loss": 1.0261,
|
| 358 |
+
"mean_token_accuracy": 0.6876147240400314,
|
| 359 |
+
"num_tokens": 75429.0,
|
| 360 |
+
"step": 35
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"entropy": 1.4072065949440002,
|
| 364 |
+
"epoch": 1.7407407407407407,
|
| 365 |
+
"grad_norm": 4.086071014404297,
|
| 366 |
+
"learning_rate": 3.147047612756302e-05,
|
| 367 |
+
"loss": 1.0271,
|
| 368 |
+
"mean_token_accuracy": 0.6869702711701393,
|
| 369 |
+
"num_tokens": 78459.0,
|
| 370 |
+
"step": 36
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"entropy": 1.5171602815389633,
|
| 374 |
+
"epoch": 1.7901234567901234,
|
| 375 |
+
"grad_norm": 5.711819648742676,
|
| 376 |
+
"learning_rate": 2.9877258050403212e-05,
|
| 377 |
+
"loss": 1.1432,
|
| 378 |
+
"mean_token_accuracy": 0.6735518574714661,
|
| 379 |
+
"num_tokens": 80102.0,
|
| 380 |
+
"step": 37
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"entropy": 1.4996187686920166,
|
| 384 |
+
"epoch": 1.8395061728395061,
|
| 385 |
+
"grad_norm": 4.804397106170654,
|
| 386 |
+
"learning_rate": 2.8263154805501297e-05,
|
| 387 |
+
"loss": 1.1221,
|
| 388 |
+
"mean_token_accuracy": 0.6675888076424599,
|
| 389 |
+
"num_tokens": 82277.0,
|
| 390 |
+
"step": 38
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"entropy": 1.277234360575676,
|
| 394 |
+
"epoch": 1.8888888888888888,
|
| 395 |
+
"grad_norm": 3.7578635215759277,
|
| 396 |
+
"learning_rate": 2.663507823075358e-05,
|
| 397 |
+
"loss": 0.9613,
|
| 398 |
+
"mean_token_accuracy": 0.6974349915981293,
|
| 399 |
+
"num_tokens": 85933.0,
|
| 400 |
+
"step": 39
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"entropy": 1.4796784967184067,
|
| 404 |
+
"epoch": 1.9382716049382716,
|
| 405 |
+
"grad_norm": 4.373854160308838,
|
| 406 |
+
"learning_rate": 2.5e-05,
|
| 407 |
+
"loss": 1.1684,
|
| 408 |
+
"mean_token_accuracy": 0.6698590070009232,
|
| 409 |
+
"num_tokens": 88612.0,
|
| 410 |
+
"step": 40
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"entropy": 1.4071252942085266,
|
| 414 |
+
"epoch": 1.9876543209876543,
|
| 415 |
+
"grad_norm": 5.221538543701172,
|
| 416 |
+
"learning_rate": 2.3364921769246423e-05,
|
| 417 |
+
"loss": 1.1439,
|
| 418 |
+
"mean_token_accuracy": 0.6814302429556847,
|
| 419 |
+
"num_tokens": 90823.0,
|
| 420 |
+
"step": 41
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"entropy": 1.5970491170883179,
|
| 424 |
+
"epoch": 2.0,
|
| 425 |
+
"grad_norm": 10.636951446533203,
|
| 426 |
+
"learning_rate": 2.173684519449872e-05,
|
| 427 |
+
"loss": 1.0735,
|
| 428 |
+
"mean_token_accuracy": 0.7276268303394318,
|
| 429 |
+
"num_tokens": 91240.0,
|
| 430 |
+
"step": 42
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"entropy": 1.39203742146492,
|
| 434 |
+
"epoch": 2.049382716049383,
|
| 435 |
+
"grad_norm": 3.8262007236480713,
|
| 436 |
+
"learning_rate": 2.0122741949596797e-05,
|
| 437 |
+
"loss": 0.7384,
|
| 438 |
+
"mean_token_accuracy": 0.7718699052929878,
|
| 439 |
+
"num_tokens": 93342.0,
|
| 440 |
+
"step": 43
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"entropy": 1.4726413637399673,
|
| 444 |
+
"epoch": 2.0987654320987654,
|
| 445 |
+
"grad_norm": 4.435136795043945,
|
| 446 |
+
"learning_rate": 1.852952387243698e-05,
|
| 447 |
+
"loss": 0.7265,
|
| 448 |
+
"mean_token_accuracy": 0.7925485372543335,
|
| 449 |
+
"num_tokens": 95250.0,
|
| 450 |
+
"step": 44
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"entropy": 1.3003774285316467,
|
| 454 |
+
"epoch": 2.148148148148148,
|
| 455 |
+
"grad_norm": 3.799497365951538,
|
| 456 |
+
"learning_rate": 1.6964013367420966e-05,
|
| 457 |
+
"loss": 0.7015,
|
| 458 |
+
"mean_token_accuracy": 0.7795400172472,
|
| 459 |
+
"num_tokens": 97864.0,
|
| 460 |
+
"step": 45
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"entropy": 1.248021274805069,
|
| 464 |
+
"epoch": 2.197530864197531,
|
| 465 |
+
"grad_norm": 3.650768756866455,
|
| 466 |
+
"learning_rate": 1.5432914190872757e-05,
|
| 467 |
+
"loss": 0.6776,
|
| 468 |
+
"mean_token_accuracy": 0.8115019127726555,
|
| 469 |
+
"num_tokens": 100323.0,
|
| 470 |
+
"step": 46
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"entropy": 1.2092759758234024,
|
| 474 |
+
"epoch": 2.246913580246914,
|
| 475 |
+
"grad_norm": 3.9729771614074707,
|
| 476 |
+
"learning_rate": 1.3942782744524973e-05,
|
| 477 |
+
"loss": 0.6091,
|
| 478 |
+
"mean_token_accuracy": 0.8202343359589577,
|
| 479 |
+
"num_tokens": 102615.0,
|
| 480 |
+
"step": 47
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"entropy": 1.2965480834245682,
|
| 484 |
+
"epoch": 2.2962962962962963,
|
| 485 |
+
"grad_norm": 4.632357597351074,
|
| 486 |
+
"learning_rate": 1.2500000000000006e-05,
|
| 487 |
+
"loss": 0.7704,
|
| 488 |
+
"mean_token_accuracy": 0.7770233377814293,
|
| 489 |
+
"num_tokens": 104543.0,
|
| 490 |
+
"step": 48
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"entropy": 1.2238061875104904,
|
| 494 |
+
"epoch": 2.3456790123456788,
|
| 495 |
+
"grad_norm": 4.053952217102051,
|
| 496 |
+
"learning_rate": 1.1110744174509952e-05,
|
| 497 |
+
"loss": 0.6047,
|
| 498 |
+
"mean_token_accuracy": 0.8104883581399918,
|
| 499 |
+
"num_tokens": 106982.0,
|
| 500 |
+
"step": 49
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"entropy": 1.2117676883935928,
|
| 504 |
+
"epoch": 2.3950617283950617,
|
| 505 |
+
"grad_norm": 4.814194202423096,
|
| 506 |
+
"learning_rate": 9.780964274781984e-06,
|
| 507 |
+
"loss": 0.6945,
|
| 508 |
+
"mean_token_accuracy": 0.794559009373188,
|
| 509 |
+
"num_tokens": 108907.0,
|
| 510 |
+
"step": 50
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"entropy": 1.2279776483774185,
|
| 514 |
+
"epoch": 2.4444444444444446,
|
| 515 |
+
"grad_norm": 5.624629974365234,
|
| 516 |
+
"learning_rate": 8.51635462249828e-06,
|
| 517 |
+
"loss": 0.7707,
|
| 518 |
+
"mean_token_accuracy": 0.7722515612840652,
|
| 519 |
+
"num_tokens": 110649.0,
|
| 520 |
+
"step": 51
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"entropy": 1.130656473338604,
|
| 524 |
+
"epoch": 2.493827160493827,
|
| 525 |
+
"grad_norm": 4.165122985839844,
|
| 526 |
+
"learning_rate": 7.3223304703363135e-06,
|
| 527 |
+
"loss": 0.6238,
|
| 528 |
+
"mean_token_accuracy": 0.8032507002353668,
|
| 529 |
+
"num_tokens": 113000.0,
|
| 530 |
+
"step": 52
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"entropy": 1.057595133781433,
|
| 534 |
+
"epoch": 2.5432098765432096,
|
| 535 |
+
"grad_norm": 4.7867817878723145,
|
| 536 |
+
"learning_rate": 6.204004813025568e-06,
|
| 537 |
+
"loss": 0.6951,
|
| 538 |
+
"mean_token_accuracy": 0.8001823052763939,
|
| 539 |
+
"num_tokens": 115252.0,
|
| 540 |
+
"step": 53
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"entropy": 1.0031295642256737,
|
| 544 |
+
"epoch": 2.5925925925925926,
|
| 545 |
+
"grad_norm": 4.251824855804443,
|
| 546 |
+
"learning_rate": 5.166166492719124e-06,
|
| 547 |
+
"loss": 0.547,
|
| 548 |
+
"mean_token_accuracy": 0.8263749331235886,
|
| 549 |
+
"num_tokens": 117622.0,
|
| 550 |
+
"step": 54
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"entropy": 0.9957862570881844,
|
| 554 |
+
"epoch": 2.6419753086419755,
|
| 555 |
+
"grad_norm": 4.6617279052734375,
|
| 556 |
+
"learning_rate": 4.213259692436367e-06,
|
| 557 |
+
"loss": 0.6031,
|
| 558 |
+
"mean_token_accuracy": 0.8142141699790955,
|
| 559 |
+
"num_tokens": 120361.0,
|
| 560 |
+
"step": 55
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"entropy": 1.0976142808794975,
|
| 564 |
+
"epoch": 2.691358024691358,
|
| 565 |
+
"grad_norm": 4.915057182312012,
|
| 566 |
+
"learning_rate": 3.3493649053890326e-06,
|
| 567 |
+
"loss": 0.6949,
|
| 568 |
+
"mean_token_accuracy": 0.7822957187891006,
|
| 569 |
+
"num_tokens": 122610.0,
|
| 570 |
+
"step": 56
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"entropy": 1.0492280274629593,
|
| 574 |
+
"epoch": 2.7407407407407405,
|
| 575 |
+
"grad_norm": 5.099884033203125,
|
| 576 |
+
"learning_rate": 2.578181461682794e-06,
|
| 577 |
+
"loss": 0.6004,
|
| 578 |
+
"mean_token_accuracy": 0.8302762731909752,
|
| 579 |
+
"num_tokens": 124571.0,
|
| 580 |
+
"step": 57
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"entropy": 1.0981549099087715,
|
| 584 |
+
"epoch": 2.7901234567901234,
|
| 585 |
+
"grad_norm": 5.698803901672363,
|
| 586 |
+
"learning_rate": 1.9030116872178316e-06,
|
| 587 |
+
"loss": 0.8066,
|
| 588 |
+
"mean_token_accuracy": 0.7803784757852554,
|
| 589 |
+
"num_tokens": 126741.0,
|
| 590 |
+
"step": 58
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"entropy": 1.0801162794232368,
|
| 594 |
+
"epoch": 2.8395061728395063,
|
| 595 |
+
"grad_norm": 4.8652567863464355,
|
| 596 |
+
"learning_rate": 1.3267467626223606e-06,
|
| 597 |
+
"loss": 0.6778,
|
| 598 |
+
"mean_token_accuracy": 0.8027013018727303,
|
| 599 |
+
"num_tokens": 129201.0,
|
| 600 |
+
"step": 59
|
| 601 |
}
|
| 602 |
],
|
| 603 |
"logging_steps": 1,
|
| 604 |
+
"max_steps": 63,
|
| 605 |
"num_input_tokens_seen": 0,
|
| 606 |
"num_train_epochs": 3,
|
| 607 |
"save_steps": 1,
|
|
|
|
| 612 |
"should_evaluate": false,
|
| 613 |
"should_log": false,
|
| 614 |
"should_save": true,
|
| 615 |
+
"should_training_stop": false
|
| 616 |
},
|
| 617 |
"attributes": {}
|
| 618 |
}
|
| 619 |
},
|
| 620 |
+
"total_flos": 3467511535116288.0,
|
| 621 |
+
"train_batch_size": 2,
|
| 622 |
"trial_name": null,
|
| 623 |
"trial_params": null
|
| 624 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6353
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6450a7549e5c3d80ba33c4a8d5dfdf16bf8472ec89ae7d85c7f2650870f43667
|
| 3 |
size 6353
|