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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: 1.3b-all-2-epoch-v1-after-book |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# 1.3b-all-2-epoch-v1-after-book |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9482 |
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- Accuracy: 0.0640 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.17 | 0.07 | 1 | 2.0547 | 0.0621 | |
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| 2.1814 | 0.13 | 2 | 2.0547 | 0.0621 | |
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| 2.0963 | 0.2 | 3 | 2.0234 | 0.0625 | |
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| 2.1383 | 0.27 | 4 | 2.0195 | 0.0625 | |
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| 2.1625 | 0.33 | 5 | 2.0195 | 0.0625 | |
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| 2.1808 | 0.4 | 6 | 2.0156 | 0.0624 | |
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| 2.1587 | 0.47 | 7 | 2.0176 | 0.0626 | |
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| 2.0847 | 0.53 | 8 | 2.0137 | 0.0627 | |
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| 2.0336 | 0.6 | 9 | 2.0137 | 0.0627 | |
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| 2.1777 | 0.67 | 10 | 2.0059 | 0.0629 | |
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| 2.2034 | 0.73 | 11 | 2.0 | 0.0630 | |
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| 2.1665 | 0.8 | 12 | 1.9941 | 0.0628 | |
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| 2.0352 | 0.87 | 13 | 1.9883 | 0.0629 | |
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| 2.1263 | 0.93 | 14 | 1.9834 | 0.0628 | |
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| 2.1282 | 1.0 | 15 | 1.9785 | 0.0632 | |
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| 1.7159 | 1.07 | 16 | 1.9766 | 0.0633 | |
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| 1.8346 | 1.13 | 17 | 1.9775 | 0.0635 | |
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| 1.7183 | 1.2 | 18 | 1.9824 | 0.0634 | |
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| 1.6086 | 1.27 | 19 | 1.9883 | 0.0635 | |
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| 1.6497 | 1.33 | 20 | 1.9893 | 0.0634 | |
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| 1.6267 | 1.4 | 21 | 1.9854 | 0.0637 | |
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| 1.5962 | 1.47 | 22 | 1.9766 | 0.0637 | |
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| 1.5168 | 1.53 | 23 | 1.9697 | 0.0637 | |
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| 1.6213 | 1.6 | 24 | 1.9619 | 0.0637 | |
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| 1.4789 | 1.67 | 25 | 1.9580 | 0.0638 | |
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| 1.6796 | 1.73 | 26 | 1.9551 | 0.0638 | |
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| 1.5964 | 1.8 | 27 | 1.9531 | 0.0638 | |
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| 1.787 | 1.87 | 28 | 1.9512 | 0.0639 | |
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| 1.6536 | 1.93 | 29 | 1.9492 | 0.0640 | |
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| 1.7178 | 2.0 | 30 | 1.9482 | 0.0640 | |
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### Framework versions |
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- Transformers 4.25.0.dev0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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