Adding `safetensors` variant of this model
#3
by
SFconvertbot - opened
- README.md +6 -29
- all_results.json +12 -12
- eval_results.json +7 -7
- pytorch_model.bin +0 -3
- train_results.json +6 -6
- trainer_state.json +14 -1676
README.md
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Rouge1: 0.0
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- Rouge2: 0.0
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- Rougel: 0.0
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- Rougelsum: 0.0
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- Cer:
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- Gen Len:
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Cer | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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| 3.5765 | 0.11 | 500 | 10.3648 | 16.358 | 3.4338 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 3.1749 | 0.22 | 1000 | 10.955 | 15.828 | 3.0110 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 2.8696 | 0.33 | 1500 | 11.2579 | 15.358 | 2.6943 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 2.6279 | 0.43 | 2000 | 11.6734 | 14.8565 | 2.4300 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 2.4166 | 0.54 | 2500 | 11.028 | 14.523 | 2.2248 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 2.2444 | 0.65 | 3000 | 10.4379 | 14.4185 | 2.0490 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 2.0902 | 0.76 | 3500 | 10.0905 | 14.242 | 1.8756 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.9565 | 0.87 | 4000 | 9.7629 | 14.042 | 1.7377 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.8319 | 0.98 | 4500 | 9.4737 | 13.877 | 1.6244 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.7104 | 1.09 | 5000 | 9.153 | 13.825 | 1.5353 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.6148 | 1.2 | 5500 | 8.8125 | 13.726 | 1.4422 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.5459 | 1.3 | 6000 | 8.5589 | 13.681 | 1.3755 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.4837 | 1.41 | 6500 | 8.2717 | 13.6225 | 1.3035 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.4219 | 1.52 | 7000 | 8.0684 | 13.549 | 1.2407 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.3743 | 1.63 | 7500 | 7.7684 | 13.502 | 1.1865 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.3318 | 1.74 | 8000 | 7.5247 | 13.509 | 1.1503 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.2893 | 1.85 | 8500 | 7.3826 | 13.456 | 1.1085 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 1.2228 | 2.0 | 9198 | 1.0506 | 0.0 | 0.0 | 0.0 | 0.0 | 7.0411 | 13.3935 |
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| 0.9343 | 3.0 | 13797 | 0.7769 | 0.0 | 0.0 | 0.0 | 0.0 | 5.5303 | 13.2935 |
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| 0.7915 | 4.0 | 18396 | 0.6663 | 0.0 | 0.0 | 0.0 | 0.0 | 4.8928 | 13.209 |
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| 0.7436 | 5.0 | 22995 | 0.6353 | 0.0 | 0.0 | 0.0 | 0.0 | 4.7349 | 13.2035 |
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### Framework versions
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.2736
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- Rouge1: 0.0
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- Rouge2: 0.0
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- Rougel: 0.0
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- Rougelsum: 0.0
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- Cer: 10.7576
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- Gen Len: 16.9735
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 224
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- eval_batch_size: 128
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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### Framework versions
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all_results.json
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eval_results.json
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| 11 |
{
|
| 12 |
"epoch": 2.22,
|
| 13 |
+
"learning_rate": 1.4074074074074075e-05,
|
| 14 |
+
"loss": 4.9042,
|
| 15 |
+
"step": 100
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| 16 |
},
|
| 17 |
{
|
| 18 |
"epoch": 3.0,
|
| 19 |
+
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|
| 20 |
+
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|
| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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| 25 |
}
|
| 26 |
],
|
| 27 |
"logging_steps": 100,
|
| 28 |
+
"max_steps": 135,
|
| 29 |
+
"num_train_epochs": 3,
|
| 30 |
"save_steps": 500,
|
| 31 |
+
"total_flos": 719870106009600.0,
|
| 32 |
"trial_name": null,
|
| 33 |
"trial_params": null
|
| 34 |
}
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