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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: kaz_legal_distilbert_full_corpus_10.0_16 |
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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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# kaz_legal_distilbert_full_corpus_10.0_16 |
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This model is a fine-tuned version of [kaisar-barlybay-sse/kaz_legal_distilbert_full_corpus_10.0](https://huggingface.co/kaisar-barlybay-sse/kaz_legal_distilbert_full_corpus_10.0) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.0806 |
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- Accuracy: 0.4351 |
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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: 5e-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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- 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: 16 |
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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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| 1.4013 | 1.0 | 501 | 1.3849 | 0.3473 | |
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| 1.3954 | 2.0 | 1002 | 1.3853 | 0.3234 | |
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| 1.3874 | 3.0 | 1503 | 1.3864 | 0.2216 | |
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| 1.3995 | 4.0 | 2004 | 1.3863 | 0.3513 | |
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| 1.3944 | 5.0 | 2505 | 1.3862 | 0.3473 | |
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| 1.3829 | 6.0 | 3006 | 1.3858 | 0.3713 | |
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| 1.2411 | 7.0 | 3507 | 1.4126 | 0.3972 | |
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| 0.9506 | 8.0 | 4008 | 1.7895 | 0.3992 | |
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| 0.7435 | 9.0 | 4509 | 1.5649 | 0.4212 | |
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| 0.5988 | 10.0 | 5010 | 2.6088 | 0.4371 | |
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| 0.4972 | 11.0 | 5511 | 2.8238 | 0.4371 | |
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| 0.4111 | 12.0 | 6012 | 3.2902 | 0.4431 | |
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| 0.3471 | 13.0 | 6513 | 3.5568 | 0.4212 | |
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| 0.3065 | 14.0 | 7014 | 3.9031 | 0.4351 | |
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| 0.3015 | 15.0 | 7515 | 4.0874 | 0.4311 | |
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| 0.2873 | 16.0 | 8016 | 4.0806 | 0.4351 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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