End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +640 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: llama3.1
|
|
| 4 |
base_model: meta-llama/Meta-Llama-3.1-8B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: oh_v1.3_opengpt_x8
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# oh_v1.3_opengpt_x8
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.7300
|
| 21 |
|
|
|
|
| 4 |
base_model: meta-llama/Meta-Llama-3.1-8B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: oh_v1.3_opengpt_x8
|
|
|
|
| 16 |
|
| 17 |
# oh_v1.3_opengpt_x8
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/oh_v1.3_opengpt_x8 dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 0.7300
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.7299705147743225,
|
| 4 |
+
"eval_runtime": 26.5424,
|
| 5 |
+
"eval_samples_per_second": 279.101,
|
| 6 |
+
"eval_steps_per_second": 1.093,
|
| 7 |
+
"total_flos": 1381905727488000.0,
|
| 8 |
+
"train_loss": 0.7044297796307188,
|
| 9 |
+
"train_runtime": 5353.5806,
|
| 10 |
+
"train_samples_per_second": 78.866,
|
| 11 |
+
"train_steps_per_second": 0.154
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 0.7299705147743225,
|
| 4 |
+
"eval_runtime": 26.5424,
|
| 5 |
+
"eval_samples_per_second": 279.101,
|
| 6 |
+
"eval_steps_per_second": 1.093
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 1381905727488000.0,
|
| 4 |
+
"train_loss": 0.7044297796307188,
|
| 5 |
+
"train_runtime": 5353.5806,
|
| 6 |
+
"train_samples_per_second": 78.866,
|
| 7 |
+
"train_steps_per_second": 0.154
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,640 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 825,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.03636363636363636,
|
| 13 |
+
"grad_norm": 3.2293971017711174,
|
| 14 |
+
"learning_rate": 5e-06,
|
| 15 |
+
"loss": 1.0337,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.07272727272727272,
|
| 20 |
+
"grad_norm": 1.2461654883314972,
|
| 21 |
+
"learning_rate": 5e-06,
|
| 22 |
+
"loss": 0.9092,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.10909090909090909,
|
| 27 |
+
"grad_norm": 1.0937923635217501,
|
| 28 |
+
"learning_rate": 5e-06,
|
| 29 |
+
"loss": 0.8658,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.14545454545454545,
|
| 34 |
+
"grad_norm": 1.3350225945199414,
|
| 35 |
+
"learning_rate": 5e-06,
|
| 36 |
+
"loss": 0.844,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.18181818181818182,
|
| 41 |
+
"grad_norm": 1.029425810987488,
|
| 42 |
+
"learning_rate": 5e-06,
|
| 43 |
+
"loss": 0.8249,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.21818181818181817,
|
| 48 |
+
"grad_norm": 1.5219290967515304,
|
| 49 |
+
"learning_rate": 5e-06,
|
| 50 |
+
"loss": 0.8068,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.2545454545454545,
|
| 55 |
+
"grad_norm": 1.6740495880819521,
|
| 56 |
+
"learning_rate": 5e-06,
|
| 57 |
+
"loss": 0.7989,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.2909090909090909,
|
| 62 |
+
"grad_norm": 1.2973735477904815,
|
| 63 |
+
"learning_rate": 5e-06,
|
| 64 |
+
"loss": 0.7921,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.32727272727272727,
|
| 69 |
+
"grad_norm": 0.8566363002967183,
|
| 70 |
+
"learning_rate": 5e-06,
|
| 71 |
+
"loss": 0.781,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.36363636363636365,
|
| 76 |
+
"grad_norm": 0.9961672641644985,
|
| 77 |
+
"learning_rate": 5e-06,
|
| 78 |
+
"loss": 0.7745,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.4,
|
| 83 |
+
"grad_norm": 0.8927257959121373,
|
| 84 |
+
"learning_rate": 5e-06,
|
| 85 |
+
"loss": 0.7754,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.43636363636363634,
|
| 90 |
+
"grad_norm": 0.6135178704985191,
|
| 91 |
+
"learning_rate": 5e-06,
|
| 92 |
+
"loss": 0.772,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.4727272727272727,
|
| 97 |
+
"grad_norm": 0.7431505188106242,
|
| 98 |
+
"learning_rate": 5e-06,
|
| 99 |
+
"loss": 0.7686,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.509090909090909,
|
| 104 |
+
"grad_norm": 0.7150787812569424,
|
| 105 |
+
"learning_rate": 5e-06,
|
| 106 |
+
"loss": 0.7618,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.5454545454545454,
|
| 111 |
+
"grad_norm": 0.6352342662453642,
|
| 112 |
+
"learning_rate": 5e-06,
|
| 113 |
+
"loss": 0.7611,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.5818181818181818,
|
| 118 |
+
"grad_norm": 0.6257901300873526,
|
| 119 |
+
"learning_rate": 5e-06,
|
| 120 |
+
"loss": 0.7569,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.6181818181818182,
|
| 125 |
+
"grad_norm": 0.6387102446786417,
|
| 126 |
+
"learning_rate": 5e-06,
|
| 127 |
+
"loss": 0.7611,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.6545454545454545,
|
| 132 |
+
"grad_norm": 0.5983754152683597,
|
| 133 |
+
"learning_rate": 5e-06,
|
| 134 |
+
"loss": 0.7546,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.6909090909090909,
|
| 139 |
+
"grad_norm": 0.7480127979666656,
|
| 140 |
+
"learning_rate": 5e-06,
|
| 141 |
+
"loss": 0.7566,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.7272727272727273,
|
| 146 |
+
"grad_norm": 0.5804396007389026,
|
| 147 |
+
"learning_rate": 5e-06,
|
| 148 |
+
"loss": 0.75,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.7636363636363637,
|
| 153 |
+
"grad_norm": 0.682148918886327,
|
| 154 |
+
"learning_rate": 5e-06,
|
| 155 |
+
"loss": 0.7476,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.8,
|
| 160 |
+
"grad_norm": 0.8039336411015884,
|
| 161 |
+
"learning_rate": 5e-06,
|
| 162 |
+
"loss": 0.7462,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.8363636363636363,
|
| 167 |
+
"grad_norm": 0.6876607052536684,
|
| 168 |
+
"learning_rate": 5e-06,
|
| 169 |
+
"loss": 0.7411,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.8727272727272727,
|
| 174 |
+
"grad_norm": 0.6588151842699974,
|
| 175 |
+
"learning_rate": 5e-06,
|
| 176 |
+
"loss": 0.7469,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.9090909090909091,
|
| 181 |
+
"grad_norm": 0.6715213794720472,
|
| 182 |
+
"learning_rate": 5e-06,
|
| 183 |
+
"loss": 0.7378,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.9454545454545454,
|
| 188 |
+
"grad_norm": 0.5870957383826958,
|
| 189 |
+
"learning_rate": 5e-06,
|
| 190 |
+
"loss": 0.7457,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.9818181818181818,
|
| 195 |
+
"grad_norm": 0.6643986810785624,
|
| 196 |
+
"learning_rate": 5e-06,
|
| 197 |
+
"loss": 0.7466,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 1.0,
|
| 202 |
+
"eval_loss": 0.7417545914649963,
|
| 203 |
+
"eval_runtime": 26.6218,
|
| 204 |
+
"eval_samples_per_second": 278.268,
|
| 205 |
+
"eval_steps_per_second": 1.089,
|
| 206 |
+
"step": 275
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 1.018181818181818,
|
| 210 |
+
"grad_norm": 0.9781239153342394,
|
| 211 |
+
"learning_rate": 5e-06,
|
| 212 |
+
"loss": 0.7136,
|
| 213 |
+
"step": 280
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 1.0545454545454545,
|
| 217 |
+
"grad_norm": 0.7152925984087143,
|
| 218 |
+
"learning_rate": 5e-06,
|
| 219 |
+
"loss": 0.6871,
|
| 220 |
+
"step": 290
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 1.0909090909090908,
|
| 224 |
+
"grad_norm": 0.6929492576277494,
|
| 225 |
+
"learning_rate": 5e-06,
|
| 226 |
+
"loss": 0.6894,
|
| 227 |
+
"step": 300
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.1272727272727272,
|
| 231 |
+
"grad_norm": 0.728764264622129,
|
| 232 |
+
"learning_rate": 5e-06,
|
| 233 |
+
"loss": 0.6935,
|
| 234 |
+
"step": 310
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 1.1636363636363636,
|
| 238 |
+
"grad_norm": 0.7252517543389313,
|
| 239 |
+
"learning_rate": 5e-06,
|
| 240 |
+
"loss": 0.6945,
|
| 241 |
+
"step": 320
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 1.2,
|
| 245 |
+
"grad_norm": 0.6665160391388197,
|
| 246 |
+
"learning_rate": 5e-06,
|
| 247 |
+
"loss": 0.6886,
|
| 248 |
+
"step": 330
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.2363636363636363,
|
| 252 |
+
"grad_norm": 0.7161659905517039,
|
| 253 |
+
"learning_rate": 5e-06,
|
| 254 |
+
"loss": 0.6898,
|
| 255 |
+
"step": 340
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 1.2727272727272727,
|
| 259 |
+
"grad_norm": 0.5719039452566653,
|
| 260 |
+
"learning_rate": 5e-06,
|
| 261 |
+
"loss": 0.6934,
|
| 262 |
+
"step": 350
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 1.309090909090909,
|
| 266 |
+
"grad_norm": 0.6060853746189843,
|
| 267 |
+
"learning_rate": 5e-06,
|
| 268 |
+
"loss": 0.6922,
|
| 269 |
+
"step": 360
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.3454545454545455,
|
| 273 |
+
"grad_norm": 0.6563719933283224,
|
| 274 |
+
"learning_rate": 5e-06,
|
| 275 |
+
"loss": 0.6912,
|
| 276 |
+
"step": 370
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 1.3818181818181818,
|
| 280 |
+
"grad_norm": 0.5958006047997326,
|
| 281 |
+
"learning_rate": 5e-06,
|
| 282 |
+
"loss": 0.6904,
|
| 283 |
+
"step": 380
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 1.4181818181818182,
|
| 287 |
+
"grad_norm": 0.7430218105320606,
|
| 288 |
+
"learning_rate": 5e-06,
|
| 289 |
+
"loss": 0.688,
|
| 290 |
+
"step": 390
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.4545454545454546,
|
| 294 |
+
"grad_norm": 0.6322073230662588,
|
| 295 |
+
"learning_rate": 5e-06,
|
| 296 |
+
"loss": 0.6883,
|
| 297 |
+
"step": 400
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 1.490909090909091,
|
| 301 |
+
"grad_norm": 0.7151221978666452,
|
| 302 |
+
"learning_rate": 5e-06,
|
| 303 |
+
"loss": 0.6934,
|
| 304 |
+
"step": 410
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 1.5272727272727273,
|
| 308 |
+
"grad_norm": 0.6184168187218901,
|
| 309 |
+
"learning_rate": 5e-06,
|
| 310 |
+
"loss": 0.6916,
|
| 311 |
+
"step": 420
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 1.5636363636363635,
|
| 315 |
+
"grad_norm": 0.6280848540221795,
|
| 316 |
+
"learning_rate": 5e-06,
|
| 317 |
+
"loss": 0.6916,
|
| 318 |
+
"step": 430
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.6,
|
| 322 |
+
"grad_norm": 0.6568705155050817,
|
| 323 |
+
"learning_rate": 5e-06,
|
| 324 |
+
"loss": 0.6856,
|
| 325 |
+
"step": 440
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 1.6363636363636362,
|
| 329 |
+
"grad_norm": 0.6359258851827682,
|
| 330 |
+
"learning_rate": 5e-06,
|
| 331 |
+
"loss": 0.6851,
|
| 332 |
+
"step": 450
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.6727272727272728,
|
| 336 |
+
"grad_norm": 0.710888538426671,
|
| 337 |
+
"learning_rate": 5e-06,
|
| 338 |
+
"loss": 0.6872,
|
| 339 |
+
"step": 460
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.709090909090909,
|
| 343 |
+
"grad_norm": 0.7584066029266229,
|
| 344 |
+
"learning_rate": 5e-06,
|
| 345 |
+
"loss": 0.6849,
|
| 346 |
+
"step": 470
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 1.7454545454545456,
|
| 350 |
+
"grad_norm": 0.5960492892442344,
|
| 351 |
+
"learning_rate": 5e-06,
|
| 352 |
+
"loss": 0.6891,
|
| 353 |
+
"step": 480
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 1.7818181818181817,
|
| 357 |
+
"grad_norm": 0.5629377755020811,
|
| 358 |
+
"learning_rate": 5e-06,
|
| 359 |
+
"loss": 0.6847,
|
| 360 |
+
"step": 490
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.8181818181818183,
|
| 364 |
+
"grad_norm": 0.589716689792314,
|
| 365 |
+
"learning_rate": 5e-06,
|
| 366 |
+
"loss": 0.6871,
|
| 367 |
+
"step": 500
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 1.8545454545454545,
|
| 371 |
+
"grad_norm": 0.5740509121739076,
|
| 372 |
+
"learning_rate": 5e-06,
|
| 373 |
+
"loss": 0.6888,
|
| 374 |
+
"step": 510
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.8909090909090909,
|
| 378 |
+
"grad_norm": 0.5891046247600111,
|
| 379 |
+
"learning_rate": 5e-06,
|
| 380 |
+
"loss": 0.6884,
|
| 381 |
+
"step": 520
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.9272727272727272,
|
| 385 |
+
"grad_norm": 0.6447276827053491,
|
| 386 |
+
"learning_rate": 5e-06,
|
| 387 |
+
"loss": 0.6893,
|
| 388 |
+
"step": 530
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 1.9636363636363636,
|
| 392 |
+
"grad_norm": 0.6935516132206995,
|
| 393 |
+
"learning_rate": 5e-06,
|
| 394 |
+
"loss": 0.6868,
|
| 395 |
+
"step": 540
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 2.0,
|
| 399 |
+
"grad_norm": 0.5781509823001448,
|
| 400 |
+
"learning_rate": 5e-06,
|
| 401 |
+
"loss": 0.6841,
|
| 402 |
+
"step": 550
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 2.0,
|
| 406 |
+
"eval_loss": 0.7281343340873718,
|
| 407 |
+
"eval_runtime": 26.4698,
|
| 408 |
+
"eval_samples_per_second": 279.867,
|
| 409 |
+
"eval_steps_per_second": 1.096,
|
| 410 |
+
"step": 550
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 2.036363636363636,
|
| 414 |
+
"grad_norm": 0.7551729949207574,
|
| 415 |
+
"learning_rate": 5e-06,
|
| 416 |
+
"loss": 0.6351,
|
| 417 |
+
"step": 560
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 2.0727272727272728,
|
| 421 |
+
"grad_norm": 0.6070448901420726,
|
| 422 |
+
"learning_rate": 5e-06,
|
| 423 |
+
"loss": 0.6307,
|
| 424 |
+
"step": 570
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 2.109090909090909,
|
| 428 |
+
"grad_norm": 0.7225948313371118,
|
| 429 |
+
"learning_rate": 5e-06,
|
| 430 |
+
"loss": 0.6357,
|
| 431 |
+
"step": 580
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 2.1454545454545455,
|
| 435 |
+
"grad_norm": 1.3944109200671733,
|
| 436 |
+
"learning_rate": 5e-06,
|
| 437 |
+
"loss": 0.6375,
|
| 438 |
+
"step": 590
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 2.1818181818181817,
|
| 442 |
+
"grad_norm": 1.1390572133302885,
|
| 443 |
+
"learning_rate": 5e-06,
|
| 444 |
+
"loss": 0.635,
|
| 445 |
+
"step": 600
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 2.2181818181818183,
|
| 449 |
+
"grad_norm": 0.7900509422330505,
|
| 450 |
+
"learning_rate": 5e-06,
|
| 451 |
+
"loss": 0.6383,
|
| 452 |
+
"step": 610
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 2.2545454545454544,
|
| 456 |
+
"grad_norm": 0.594871030626621,
|
| 457 |
+
"learning_rate": 5e-06,
|
| 458 |
+
"loss": 0.6321,
|
| 459 |
+
"step": 620
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 2.290909090909091,
|
| 463 |
+
"grad_norm": 0.665898906007086,
|
| 464 |
+
"learning_rate": 5e-06,
|
| 465 |
+
"loss": 0.6341,
|
| 466 |
+
"step": 630
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 2.327272727272727,
|
| 470 |
+
"grad_norm": 0.6509722897169726,
|
| 471 |
+
"learning_rate": 5e-06,
|
| 472 |
+
"loss": 0.6326,
|
| 473 |
+
"step": 640
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 2.3636363636363638,
|
| 477 |
+
"grad_norm": 0.6231670817005929,
|
| 478 |
+
"learning_rate": 5e-06,
|
| 479 |
+
"loss": 0.6385,
|
| 480 |
+
"step": 650
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 2.4,
|
| 484 |
+
"grad_norm": 0.6425410588561774,
|
| 485 |
+
"learning_rate": 5e-06,
|
| 486 |
+
"loss": 0.6373,
|
| 487 |
+
"step": 660
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 2.4363636363636365,
|
| 491 |
+
"grad_norm": 0.621241338432262,
|
| 492 |
+
"learning_rate": 5e-06,
|
| 493 |
+
"loss": 0.6399,
|
| 494 |
+
"step": 670
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 2.4727272727272727,
|
| 498 |
+
"grad_norm": 0.6924233110335524,
|
| 499 |
+
"learning_rate": 5e-06,
|
| 500 |
+
"loss": 0.6393,
|
| 501 |
+
"step": 680
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 2.509090909090909,
|
| 505 |
+
"grad_norm": 0.6419114963815122,
|
| 506 |
+
"learning_rate": 5e-06,
|
| 507 |
+
"loss": 0.6405,
|
| 508 |
+
"step": 690
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 2.5454545454545454,
|
| 512 |
+
"grad_norm": 0.7336852368102121,
|
| 513 |
+
"learning_rate": 5e-06,
|
| 514 |
+
"loss": 0.6385,
|
| 515 |
+
"step": 700
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 2.581818181818182,
|
| 519 |
+
"grad_norm": 0.7922288944252411,
|
| 520 |
+
"learning_rate": 5e-06,
|
| 521 |
+
"loss": 0.6377,
|
| 522 |
+
"step": 710
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 2.618181818181818,
|
| 526 |
+
"grad_norm": 0.6500377491351792,
|
| 527 |
+
"learning_rate": 5e-06,
|
| 528 |
+
"loss": 0.6427,
|
| 529 |
+
"step": 720
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 2.6545454545454543,
|
| 533 |
+
"grad_norm": 0.6853834065254241,
|
| 534 |
+
"learning_rate": 5e-06,
|
| 535 |
+
"loss": 0.6346,
|
| 536 |
+
"step": 730
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 2.690909090909091,
|
| 540 |
+
"grad_norm": 0.8156333668312422,
|
| 541 |
+
"learning_rate": 5e-06,
|
| 542 |
+
"loss": 0.6414,
|
| 543 |
+
"step": 740
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 2.7272727272727275,
|
| 547 |
+
"grad_norm": 0.6294215183471213,
|
| 548 |
+
"learning_rate": 5e-06,
|
| 549 |
+
"loss": 0.6363,
|
| 550 |
+
"step": 750
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 2.7636363636363637,
|
| 554 |
+
"grad_norm": 0.8237171162592375,
|
| 555 |
+
"learning_rate": 5e-06,
|
| 556 |
+
"loss": 0.6421,
|
| 557 |
+
"step": 760
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 2.8,
|
| 561 |
+
"grad_norm": 0.6772752476166749,
|
| 562 |
+
"learning_rate": 5e-06,
|
| 563 |
+
"loss": 0.6356,
|
| 564 |
+
"step": 770
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 2.8363636363636364,
|
| 568 |
+
"grad_norm": 0.7780500988065099,
|
| 569 |
+
"learning_rate": 5e-06,
|
| 570 |
+
"loss": 0.6425,
|
| 571 |
+
"step": 780
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 2.8727272727272726,
|
| 575 |
+
"grad_norm": 0.6862874007983163,
|
| 576 |
+
"learning_rate": 5e-06,
|
| 577 |
+
"loss": 0.6368,
|
| 578 |
+
"step": 790
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.909090909090909,
|
| 582 |
+
"grad_norm": 0.5748210856771035,
|
| 583 |
+
"learning_rate": 5e-06,
|
| 584 |
+
"loss": 0.6405,
|
| 585 |
+
"step": 800
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 2.9454545454545453,
|
| 589 |
+
"grad_norm": 0.6351457621560951,
|
| 590 |
+
"learning_rate": 5e-06,
|
| 591 |
+
"loss": 0.6357,
|
| 592 |
+
"step": 810
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 2.981818181818182,
|
| 596 |
+
"grad_norm": 0.586627253325874,
|
| 597 |
+
"learning_rate": 5e-06,
|
| 598 |
+
"loss": 0.6412,
|
| 599 |
+
"step": 820
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 3.0,
|
| 603 |
+
"eval_loss": 0.7299705147743225,
|
| 604 |
+
"eval_runtime": 25.9228,
|
| 605 |
+
"eval_samples_per_second": 285.772,
|
| 606 |
+
"eval_steps_per_second": 1.119,
|
| 607 |
+
"step": 825
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"epoch": 3.0,
|
| 611 |
+
"step": 825,
|
| 612 |
+
"total_flos": 1381905727488000.0,
|
| 613 |
+
"train_loss": 0.7044297796307188,
|
| 614 |
+
"train_runtime": 5353.5806,
|
| 615 |
+
"train_samples_per_second": 78.866,
|
| 616 |
+
"train_steps_per_second": 0.154
|
| 617 |
+
}
|
| 618 |
+
],
|
| 619 |
+
"logging_steps": 10,
|
| 620 |
+
"max_steps": 825,
|
| 621 |
+
"num_input_tokens_seen": 0,
|
| 622 |
+
"num_train_epochs": 3,
|
| 623 |
+
"save_steps": 500,
|
| 624 |
+
"stateful_callbacks": {
|
| 625 |
+
"TrainerControl": {
|
| 626 |
+
"args": {
|
| 627 |
+
"should_epoch_stop": false,
|
| 628 |
+
"should_evaluate": false,
|
| 629 |
+
"should_log": false,
|
| 630 |
+
"should_save": true,
|
| 631 |
+
"should_training_stop": true
|
| 632 |
+
},
|
| 633 |
+
"attributes": {}
|
| 634 |
+
}
|
| 635 |
+
},
|
| 636 |
+
"total_flos": 1381905727488000.0,
|
| 637 |
+
"train_batch_size": 16,
|
| 638 |
+
"trial_name": null,
|
| 639 |
+
"trial_params": null
|
| 640 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|