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README.md
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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 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 None 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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