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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-tiny-finetuned-pile-of-law-tos |
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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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# bert-tiny-finetuned-pile-of-law-tos |
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This model is a MLM fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the [pile-of-law/tos](https://huggingface.co/datasets/pile-of-law/pile-of-law) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3545 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 264 | 3.5896 | |
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| 3.8119 | 2.0 | 528 | 3.5598 | |
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| 3.8119 | 3.0 | 792 | 3.5263 | |
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| 3.7028 | 4.0 | 1056 | 3.4982 | |
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| 3.7028 | 5.0 | 1320 | 3.5170 | |
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| 3.6286 | 6.0 | 1584 | 3.5143 | |
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| 3.6286 | 7.0 | 1848 | 3.4477 | |
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| 3.553 | 8.0 | 2112 | 3.4044 | |
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| 3.553 | 9.0 | 2376 | 3.4670 | |
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| 3.5179 | 10.0 | 2640 | 3.3991 | |
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| 3.5179 | 11.0 | 2904 | 3.4330 | |
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| 3.4784 | 12.0 | 3168 | 3.4671 | |
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| 3.4784 | 13.0 | 3432 | 3.3489 | |
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| 3.4535 | 14.0 | 3696 | 3.4354 | |
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| 3.4535 | 15.0 | 3960 | 3.4023 | |
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### Framework versions |
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- Transformers 4.21.0 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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