End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +694 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
| 4 |
base_model: AmberYifan/qwen2.5-7b-instruct-full-pretrain-junk-tweet-1m-en-gpt
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: qwen2.5-7b-instruct-full-pretrain-junk-tweet-1m-en-gpt-sft
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# qwen2.5-7b-instruct-full-pretrain-junk-tweet-1m-en-gpt-sft
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [AmberYifan/qwen2.5-7b-instruct-full-pretrain-junk-tweet-1m-en-gpt](https://huggingface.co/AmberYifan/qwen2.5-7b-instruct-full-pretrain-junk-tweet-1m-en-gpt) on
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 4 |
base_model: AmberYifan/qwen2.5-7b-instruct-full-pretrain-junk-tweet-1m-en-gpt
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: qwen2.5-7b-instruct-full-pretrain-junk-tweet-1m-en-gpt-sft
|
|
|
|
| 16 |
|
| 17 |
# qwen2.5-7b-instruct-full-pretrain-junk-tweet-1m-en-gpt-sft
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [AmberYifan/qwen2.5-7b-instruct-full-pretrain-junk-tweet-1m-en-gpt](https://huggingface.co/AmberYifan/qwen2.5-7b-instruct-full-pretrain-junk-tweet-1m-en-gpt) on the alpaca_en dataset.
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 3418309214208.0,
|
| 4 |
+
"train_loss": 0.6678480519273411,
|
| 5 |
+
"train_runtime": 1116.3574,
|
| 6 |
+
"train_samples_per_second": 13.437,
|
| 7 |
+
"train_steps_per_second": 0.841
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 3418309214208.0,
|
| 4 |
+
"train_loss": 0.6678480519273411,
|
| 5 |
+
"train_runtime": 1116.3574,
|
| 6 |
+
"train_samples_per_second": 13.437,
|
| 7 |
+
"train_steps_per_second": 0.841
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,694 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 3.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 939,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.032,
|
| 14 |
+
"grad_norm": 39.1096352326515,
|
| 15 |
+
"learning_rate": 9.574468085106384e-07,
|
| 16 |
+
"loss": 2.3056,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.064,
|
| 21 |
+
"grad_norm": 16.899076690390917,
|
| 22 |
+
"learning_rate": 2.021276595744681e-06,
|
| 23 |
+
"loss": 1.7717,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.096,
|
| 28 |
+
"grad_norm": 11.308563003803815,
|
| 29 |
+
"learning_rate": 3.0851063829787237e-06,
|
| 30 |
+
"loss": 1.3068,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.128,
|
| 35 |
+
"grad_norm": 10.274901415072474,
|
| 36 |
+
"learning_rate": 4.148936170212766e-06,
|
| 37 |
+
"loss": 1.1424,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.16,
|
| 42 |
+
"grad_norm": 9.548706234065625,
|
| 43 |
+
"learning_rate": 5.212765957446809e-06,
|
| 44 |
+
"loss": 1.1309,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.192,
|
| 49 |
+
"grad_norm": 15.83870685772359,
|
| 50 |
+
"learning_rate": 6.276595744680851e-06,
|
| 51 |
+
"loss": 1.1985,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.224,
|
| 56 |
+
"grad_norm": 11.382728815514827,
|
| 57 |
+
"learning_rate": 7.340425531914894e-06,
|
| 58 |
+
"loss": 1.1048,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.256,
|
| 63 |
+
"grad_norm": 11.650131589337152,
|
| 64 |
+
"learning_rate": 8.404255319148937e-06,
|
| 65 |
+
"loss": 1.1035,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.288,
|
| 70 |
+
"grad_norm": 8.568640515520194,
|
| 71 |
+
"learning_rate": 9.46808510638298e-06,
|
| 72 |
+
"loss": 1.16,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.32,
|
| 77 |
+
"grad_norm": 8.08410170361631,
|
| 78 |
+
"learning_rate": 9.999136119166803e-06,
|
| 79 |
+
"loss": 1.155,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.352,
|
| 84 |
+
"grad_norm": 7.884413737662858,
|
| 85 |
+
"learning_rate": 9.9922268634943e-06,
|
| 86 |
+
"loss": 1.1018,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.384,
|
| 91 |
+
"grad_norm": 8.691042220015294,
|
| 92 |
+
"learning_rate": 9.978417901361958e-06,
|
| 93 |
+
"loss": 1.2083,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.416,
|
| 98 |
+
"grad_norm": 7.225665647795149,
|
| 99 |
+
"learning_rate": 9.95772831799724e-06,
|
| 100 |
+
"loss": 1.1581,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.448,
|
| 105 |
+
"grad_norm": 8.24708045856726,
|
| 106 |
+
"learning_rate": 9.930186708264902e-06,
|
| 107 |
+
"loss": 1.1921,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.48,
|
| 112 |
+
"grad_norm": 7.869724265398933,
|
| 113 |
+
"learning_rate": 9.895831137146319e-06,
|
| 114 |
+
"loss": 1.139,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.512,
|
| 119 |
+
"grad_norm": 11.419142424683425,
|
| 120 |
+
"learning_rate": 9.854709087130261e-06,
|
| 121 |
+
"loss": 1.1154,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.544,
|
| 126 |
+
"grad_norm": 7.9813979209772,
|
| 127 |
+
"learning_rate": 9.80687739258782e-06,
|
| 128 |
+
"loss": 1.1782,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.576,
|
| 133 |
+
"grad_norm": 7.70519368380932,
|
| 134 |
+
"learning_rate": 9.7524021612222e-06,
|
| 135 |
+
"loss": 1.2527,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.608,
|
| 140 |
+
"grad_norm": 9.08198271166994,
|
| 141 |
+
"learning_rate": 9.691358682701927e-06,
|
| 142 |
+
"loss": 1.2212,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.64,
|
| 147 |
+
"grad_norm": 7.813420466215621,
|
| 148 |
+
"learning_rate": 9.623831324603755e-06,
|
| 149 |
+
"loss": 1.1228,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.672,
|
| 154 |
+
"grad_norm": 10.205549379727113,
|
| 155 |
+
"learning_rate": 9.549913415809084e-06,
|
| 156 |
+
"loss": 1.1546,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.704,
|
| 161 |
+
"grad_norm": 6.887996653451635,
|
| 162 |
+
"learning_rate": 9.469707117515068e-06,
|
| 163 |
+
"loss": 1.0508,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.736,
|
| 168 |
+
"grad_norm": 7.340913854172283,
|
| 169 |
+
"learning_rate": 9.383323282038632e-06,
|
| 170 |
+
"loss": 1.1068,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.768,
|
| 175 |
+
"grad_norm": 6.499910309613238,
|
| 176 |
+
"learning_rate": 9.29088129960862e-06,
|
| 177 |
+
"loss": 1.0816,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.8,
|
| 182 |
+
"grad_norm": 6.572574784980115,
|
| 183 |
+
"learning_rate": 9.192508933357753e-06,
|
| 184 |
+
"loss": 1.0927,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.832,
|
| 189 |
+
"grad_norm": 9.46358573340417,
|
| 190 |
+
"learning_rate": 9.088342142742493e-06,
|
| 191 |
+
"loss": 1.158,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.864,
|
| 196 |
+
"grad_norm": 7.105176072989092,
|
| 197 |
+
"learning_rate": 8.978524895634842e-06,
|
| 198 |
+
"loss": 1.2067,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.896,
|
| 203 |
+
"grad_norm": 6.4823504227364666,
|
| 204 |
+
"learning_rate": 8.86320896934581e-06,
|
| 205 |
+
"loss": 1.1178,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.928,
|
| 210 |
+
"grad_norm": 7.93249487558393,
|
| 211 |
+
"learning_rate": 8.742553740855507e-06,
|
| 212 |
+
"loss": 1.1742,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.96,
|
| 217 |
+
"grad_norm": 7.227291656812382,
|
| 218 |
+
"learning_rate": 8.616725966539831e-06,
|
| 219 |
+
"loss": 1.1389,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.992,
|
| 224 |
+
"grad_norm": 13.901826169729663,
|
| 225 |
+
"learning_rate": 8.485899551698166e-06,
|
| 226 |
+
"loss": 1.161,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.0224,
|
| 231 |
+
"grad_norm": 5.1219616235543555,
|
| 232 |
+
"learning_rate": 8.350255310200611e-06,
|
| 233 |
+
"loss": 0.7863,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 1.0544,
|
| 238 |
+
"grad_norm": 8.548368757001553,
|
| 239 |
+
"learning_rate": 8.209980714586955e-06,
|
| 240 |
+
"loss": 0.5962,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 1.0864,
|
| 245 |
+
"grad_norm": 92.54495701445232,
|
| 246 |
+
"learning_rate": 8.065269636962765e-06,
|
| 247 |
+
"loss": 0.5823,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.1184,
|
| 252 |
+
"grad_norm": 4.6475189267999,
|
| 253 |
+
"learning_rate": 7.916322081050708e-06,
|
| 254 |
+
"loss": 0.5123,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 1.1504,
|
| 259 |
+
"grad_norm": 5.5267222999889265,
|
| 260 |
+
"learning_rate": 7.76334390576742e-06,
|
| 261 |
+
"loss": 0.5728,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 1.1824,
|
| 266 |
+
"grad_norm": 8.723856258103218,
|
| 267 |
+
"learning_rate": 7.60654654070796e-06,
|
| 268 |
+
"loss": 0.5965,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.2144,
|
| 273 |
+
"grad_norm": 10.083042960722508,
|
| 274 |
+
"learning_rate": 7.446146693931111e-06,
|
| 275 |
+
"loss": 0.6133,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 1.2464,
|
| 280 |
+
"grad_norm": 6.236613141647098,
|
| 281 |
+
"learning_rate": 7.282366052449351e-06,
|
| 282 |
+
"loss": 0.5545,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 1.2784,
|
| 287 |
+
"grad_norm": 7.900489916591024,
|
| 288 |
+
"learning_rate": 7.115430975837457e-06,
|
| 289 |
+
"loss": 0.5395,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.3104,
|
| 294 |
+
"grad_norm": 6.751119383827855,
|
| 295 |
+
"learning_rate": 6.945572183383229e-06,
|
| 296 |
+
"loss": 0.5185,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 1.3424,
|
| 301 |
+
"grad_norm": 6.591602664759515,
|
| 302 |
+
"learning_rate": 6.773024435212678e-06,
|
| 303 |
+
"loss": 0.58,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 1.3744,
|
| 308 |
+
"grad_norm": 5.020883690781568,
|
| 309 |
+
"learning_rate": 6.598026207830428e-06,
|
| 310 |
+
"loss": 0.582,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 1.4064,
|
| 315 |
+
"grad_norm": 4.358741025969657,
|
| 316 |
+
"learning_rate": 6.4208193645237314e-06,
|
| 317 |
+
"loss": 0.6483,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.4384000000000001,
|
| 322 |
+
"grad_norm": 6.125196557266611,
|
| 323 |
+
"learning_rate": 6.241648821085666e-06,
|
| 324 |
+
"loss": 0.5695,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 1.4704,
|
| 329 |
+
"grad_norm": 6.1820432941203185,
|
| 330 |
+
"learning_rate": 6.060762207319479e-06,
|
| 331 |
+
"loss": 0.5888,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.5024,
|
| 336 |
+
"grad_norm": 6.987894758967655,
|
| 337 |
+
"learning_rate": 5.878409524791931e-06,
|
| 338 |
+
"loss": 0.5993,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.5344,
|
| 343 |
+
"grad_norm": 7.385598211189569,
|
| 344 |
+
"learning_rate": 5.694842801308651e-06,
|
| 345 |
+
"loss": 0.5826,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.5664,
|
| 350 |
+
"grad_norm": 6.995583217988908,
|
| 351 |
+
"learning_rate": 5.510315742589042e-06,
|
| 352 |
+
"loss": 0.6501,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.5984,
|
| 357 |
+
"grad_norm": 6.721928240858902,
|
| 358 |
+
"learning_rate": 5.325083381622165e-06,
|
| 359 |
+
"loss": 0.6005,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.6303999999999998,
|
| 364 |
+
"grad_norm": 7.196864925847178,
|
| 365 |
+
"learning_rate": 5.139401726188208e-06,
|
| 366 |
+
"loss": 0.6475,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.6623999999999999,
|
| 371 |
+
"grad_norm": 4.449569168084183,
|
| 372 |
+
"learning_rate": 4.953527405032723e-06,
|
| 373 |
+
"loss": 0.5558,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.6944,
|
| 378 |
+
"grad_norm": 7.246820656990819,
|
| 379 |
+
"learning_rate": 4.767717313182611e-06,
|
| 380 |
+
"loss": 0.5946,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.7264,
|
| 385 |
+
"grad_norm": 7.524427037650954,
|
| 386 |
+
"learning_rate": 4.582228256894093e-06,
|
| 387 |
+
"loss": 0.5453,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.7584,
|
| 392 |
+
"grad_norm": 6.417637171346657,
|
| 393 |
+
"learning_rate": 4.397316598723385e-06,
|
| 394 |
+
"loss": 0.5631,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.7904,
|
| 399 |
+
"grad_norm": 6.044008702275205,
|
| 400 |
+
"learning_rate": 4.2132379032105695e-06,
|
| 401 |
+
"loss": 0.5471,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.8224,
|
| 406 |
+
"grad_norm": 7.703075980725136,
|
| 407 |
+
"learning_rate": 4.030246583666437e-06,
|
| 408 |
+
"loss": 0.5358,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 1.8544,
|
| 413 |
+
"grad_norm": 6.933710387117784,
|
| 414 |
+
"learning_rate": 3.848595550550401e-06,
|
| 415 |
+
"loss": 0.5729,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.8864,
|
| 420 |
+
"grad_norm": 5.836392891956106,
|
| 421 |
+
"learning_rate": 3.668535861925509e-06,
|
| 422 |
+
"loss": 0.6172,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.9184,
|
| 427 |
+
"grad_norm": 4.850237169162472,
|
| 428 |
+
"learning_rate": 3.4903163764736104e-06,
|
| 429 |
+
"loss": 0.5838,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.9504000000000001,
|
| 434 |
+
"grad_norm": 7.529837809243237,
|
| 435 |
+
"learning_rate": 3.314183409550293e-06,
|
| 436 |
+
"loss": 0.5265,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.9824000000000002,
|
| 441 |
+
"grad_norm": 6.026318906361559,
|
| 442 |
+
"learning_rate": 3.140380392754901e-06,
|
| 443 |
+
"loss": 0.5766,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 2.0128,
|
| 448 |
+
"grad_norm": 3.474380962484068,
|
| 449 |
+
"learning_rate": 2.969147537486175e-06,
|
| 450 |
+
"loss": 0.3757,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 2.0448,
|
| 455 |
+
"grad_norm": 4.406661780903807,
|
| 456 |
+
"learning_rate": 2.800721502948506e-06,
|
| 457 |
+
"loss": 0.199,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 2.0768,
|
| 462 |
+
"grad_norm": 3.7879901535036704,
|
| 463 |
+
"learning_rate": 2.635335069067617e-06,
|
| 464 |
+
"loss": 0.2483,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 2.1088,
|
| 469 |
+
"grad_norm": 3.88954400445382,
|
| 470 |
+
"learning_rate": 2.4732168147677927e-06,
|
| 471 |
+
"loss": 0.1854,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 2.1408,
|
| 476 |
+
"grad_norm": 4.9291108370074355,
|
| 477 |
+
"learning_rate": 2.314590802055232e-06,
|
| 478 |
+
"loss": 0.2256,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 2.1728,
|
| 483 |
+
"grad_norm": 4.537416650941455,
|
| 484 |
+
"learning_rate": 2.159676266344222e-06,
|
| 485 |
+
"loss": 0.2417,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 2.2048,
|
| 490 |
+
"grad_norm": 4.589342012607399,
|
| 491 |
+
"learning_rate": 2.0086873134540626e-06,
|
| 492 |
+
"loss": 0.2397,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 2.2368,
|
| 497 |
+
"grad_norm": 5.00572141950068,
|
| 498 |
+
"learning_rate": 1.8618326236955908e-06,
|
| 499 |
+
"loss": 0.2253,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 2.2688,
|
| 504 |
+
"grad_norm": 6.384579288199291,
|
| 505 |
+
"learning_rate": 1.7193151634562071e-06,
|
| 506 |
+
"loss": 0.2245,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 2.3008,
|
| 511 |
+
"grad_norm": 3.5014444758775705,
|
| 512 |
+
"learning_rate": 1.581331904682089e-06,
|
| 513 |
+
"loss": 0.1615,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 2.3327999999999998,
|
| 518 |
+
"grad_norm": 5.184650365658737,
|
| 519 |
+
"learning_rate": 1.4480735526452427e-06,
|
| 520 |
+
"loss": 0.2104,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 2.3648,
|
| 525 |
+
"grad_norm": 4.482763808859523,
|
| 526 |
+
"learning_rate": 1.319724282371664e-06,
|
| 527 |
+
"loss": 0.1997,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 2.3968,
|
| 532 |
+
"grad_norm": 7.081210646411153,
|
| 533 |
+
"learning_rate": 1.1964614840949002e-06,
|
| 534 |
+
"loss": 0.2237,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 2.4288,
|
| 539 |
+
"grad_norm": 4.862708954606646,
|
| 540 |
+
"learning_rate": 1.078455518086784e-06,
|
| 541 |
+
"loss": 0.1726,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 2.4608,
|
| 546 |
+
"grad_norm": 4.664882409595536,
|
| 547 |
+
"learning_rate": 9.658694792042284e-07,
|
| 548 |
+
"loss": 0.1998,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 2.4928,
|
| 553 |
+
"grad_norm": 5.291912466864956,
|
| 554 |
+
"learning_rate": 8.58858971477457e-07,
|
| 555 |
+
"loss": 0.206,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 2.5248,
|
| 560 |
+
"grad_norm": 4.565105616724458,
|
| 561 |
+
"learning_rate": 7.575718930512516e-07,
|
| 562 |
+
"loss": 0.2173,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 2.5568,
|
| 567 |
+
"grad_norm": 4.915852306375132,
|
| 568 |
+
"learning_rate": 6.621482317764105e-07,
|
| 569 |
+
"loss": 0.2037,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 2.5888,
|
| 574 |
+
"grad_norm": 4.505761751431015,
|
| 575 |
+
"learning_rate": 5.727198717339511e-07,
|
| 576 |
+
"loss": 0.2314,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 2.6208,
|
| 581 |
+
"grad_norm": 3.909039745871737,
|
| 582 |
+
"learning_rate": 4.894104109594466e-07,
|
| 583 |
+
"loss": 0.2208,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 2.6528,
|
| 588 |
+
"grad_norm": 6.617088897118751,
|
| 589 |
+
"learning_rate": 4.123349906194357e-07,
|
| 590 |
+
"loss": 0.2099,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 2.6848,
|
| 595 |
+
"grad_norm": 5.4835386407124505,
|
| 596 |
+
"learning_rate": 3.416001358759635e-07,
|
| 597 |
+
"loss": 0.2293,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 2.7168,
|
| 602 |
+
"grad_norm": 7.402876759701894,
|
| 603 |
+
"learning_rate": 2.7730360865923954e-07,
|
| 604 |
+
"loss": 0.2014,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 2.7488,
|
| 609 |
+
"grad_norm": 4.87925788712136,
|
| 610 |
+
"learning_rate": 2.1953427255185122e-07,
|
| 611 |
+
"loss": 0.2449,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 2.7808,
|
| 616 |
+
"grad_norm": 3.9779689426340785,
|
| 617 |
+
"learning_rate": 1.6837196997130434e-07,
|
| 618 |
+
"loss": 0.2224,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 2.8128,
|
| 623 |
+
"grad_norm": 2.7382344696771734,
|
| 624 |
+
"learning_rate": 1.2388741182062348e-07,
|
| 625 |
+
"loss": 0.1969,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 2.8448,
|
| 630 |
+
"grad_norm": 3.6699038732318003,
|
| 631 |
+
"learning_rate": 8.614207975952083e-08,
|
| 632 |
+
"loss": 0.2248,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 2.8768000000000002,
|
| 637 |
+
"grad_norm": 9.495996724139596,
|
| 638 |
+
"learning_rate": 5.518814123121885e-08,
|
| 639 |
+
"loss": 0.1906,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 2.9088000000000003,
|
| 644 |
+
"grad_norm": 8.699670035212591,
|
| 645 |
+
"learning_rate": 3.10683773623488e-08,
|
| 646 |
+
"loss": 0.1928,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 2.9408,
|
| 651 |
+
"grad_norm": 4.133938457429926,
|
| 652 |
+
"learning_rate": 1.3816123835588835e-08,
|
| 653 |
+
"loss": 0.2329,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 2.9728,
|
| 658 |
+
"grad_norm": 5.0989063447454175,
|
| 659 |
+
"learning_rate": 3.4552248167507576e-09,
|
| 660 |
+
"loss": 0.2185,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 3.0,
|
| 665 |
+
"step": 939,
|
| 666 |
+
"total_flos": 3418309214208.0,
|
| 667 |
+
"train_loss": 0.6678480519273411,
|
| 668 |
+
"train_runtime": 1116.3574,
|
| 669 |
+
"train_samples_per_second": 13.437,
|
| 670 |
+
"train_steps_per_second": 0.841
|
| 671 |
+
}
|
| 672 |
+
],
|
| 673 |
+
"logging_steps": 10,
|
| 674 |
+
"max_steps": 939,
|
| 675 |
+
"num_input_tokens_seen": 0,
|
| 676 |
+
"num_train_epochs": 3,
|
| 677 |
+
"save_steps": 500,
|
| 678 |
+
"stateful_callbacks": {
|
| 679 |
+
"TrainerControl": {
|
| 680 |
+
"args": {
|
| 681 |
+
"should_epoch_stop": false,
|
| 682 |
+
"should_evaluate": false,
|
| 683 |
+
"should_log": false,
|
| 684 |
+
"should_save": true,
|
| 685 |
+
"should_training_stop": true
|
| 686 |
+
},
|
| 687 |
+
"attributes": {}
|
| 688 |
+
}
|
| 689 |
+
},
|
| 690 |
+
"total_flos": 3418309214208.0,
|
| 691 |
+
"train_batch_size": 1,
|
| 692 |
+
"trial_name": null,
|
| 693 |
+
"trial_params": null
|
| 694 |
+
}
|
training_loss.png
ADDED
|