Model save
Browse files- README.md +3 -3
- all_results.json +12 -12
- eval_results.json +7 -7
- train_results.json +6 -6
- trainer_state.json +354 -12
- training_args.bin +1 -1
README.md
CHANGED
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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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-
- Loss: 3.
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- Accuracy: 0.3763
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## Model description
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@@ -143,8 +143,8 @@ The following hyperparameters were used during training:
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| 3.1314 | 9.8113 | 91000 | 0.3943 | 3.3021 |
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| 3.1061 | 9.9191 | 92000 | 0.3946 | 3.3004 |
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| 3.2987 | 10.0270 | 93000 | 3.4598 | 0.3772 |
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| 3.3802 | 10.1348 | 94000 | 3.
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### Framework versions
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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| 19 |
+
- Loss: 3.4625
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- Accuracy: 0.3763
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## Model description
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| 143 |
| 3.1314 | 9.8113 | 91000 | 0.3943 | 3.3021 |
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| 144 |
| 3.1061 | 9.9191 | 92000 | 0.3946 | 3.3004 |
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| 145 |
| 3.2987 | 10.0270 | 93000 | 3.4598 | 0.3772 |
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| 3.3802 | 10.1348 | 94000 | 3.4705 | 0.3756 |
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| 3.3831 | 10.2426 | 95000 | 3.4625 | 0.3763 |
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### Framework versions
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all_results.json
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{
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"epoch": 10.
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"eval_accuracy": 0.
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"eval_loss": 3.
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"eval_runtime":
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"eval_samples": 18011,
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"eval_samples_per_second":
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"eval_steps_per_second":
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"perplexity": 27.
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"total_flos": 7.
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"train_loss":
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"train_runtime":
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"train_samples": 296775,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 10.242587601078167,
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"eval_accuracy": 0.3942879655735498,
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"eval_loss": 3.303001642227173,
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"eval_runtime": 145.5138,
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"eval_samples": 18011,
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"eval_samples_per_second": 123.775,
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"eval_steps_per_second": 7.738,
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"perplexity": 27.19414362531837,
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"total_flos": 7.94262454272e+17,
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"train_loss": 0.07928502052708676,
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"train_runtime": 1615.2002,
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"train_samples": 296775,
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"train_samples_per_second": 9186.942,
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"train_steps_per_second": 287.116
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}
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eval_results.json
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{
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"epoch": 10.
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"eval_accuracy": 0.
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"eval_loss": 3.
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"eval_runtime":
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"eval_samples": 18011,
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"eval_samples_per_second":
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"eval_steps_per_second":
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"perplexity": 27.
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}
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{
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"epoch": 10.242587601078167,
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"eval_accuracy": 0.3942879655735498,
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"eval_loss": 3.303001642227173,
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"eval_runtime": 145.5138,
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"eval_samples": 18011,
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"eval_samples_per_second": 123.775,
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"eval_steps_per_second": 7.738,
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"perplexity": 27.19414362531837
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}
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train_results.json
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{
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"epoch": 10.
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"total_flos": 7.
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"train_loss":
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"train_runtime":
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"train_samples": 296775,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 10.242587601078167,
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"total_flos": 7.94262454272e+17,
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"train_loss": 0.07928502052708676,
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"train_runtime": 1615.2002,
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"train_samples": 296775,
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"train_samples_per_second": 9186.942,
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"train_steps_per_second": 287.116
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}
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trainer_state.json
CHANGED
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@@ -1,9 +1,9 @@
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{
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"best_metric": 3.3030037879943848,
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"best_model_checkpoint": "/scratch/cl5625/exceptions/models/100M__634/checkpoint-90000",
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-
"epoch": 10.
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"eval_steps": 1000,
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"step": 92750
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},
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{
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"epoch": 10.
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"
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"
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"
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}
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| 13833 |
],
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| 13834 |
"logging_steps": 50,
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| 13835 |
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"max_steps":
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| 13836 |
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| 13837 |
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"num_train_epochs":
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| 13838 |
"save_steps": 10000,
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"stateful_callbacks": {
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"TrainerControl": {
|
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"attributes": {}
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}
|
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| 1 |
{
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| 2 |
"best_metric": 3.3030037879943848,
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| 3 |
"best_model_checkpoint": "/scratch/cl5625/exceptions/models/100M__634/checkpoint-90000",
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| 4 |
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"epoch": 10.242587601078167,
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| 5 |
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| 6 |
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"global_step": 95000,
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| 7 |
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| 8 |
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| 9 |
"is_world_process_zero": true,
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| 13822 |
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| 13824 |
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