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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_3.0_6 |
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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_3.0_6 |
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This model is a fine-tuned version of [kaisar-barlybay-sse/kaz_legal_distilbert_full_corpus_3.0](https://huggingface.co/kaisar-barlybay-sse/kaz_legal_distilbert_full_corpus_3.0) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6273 |
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- Accuracy: 0.4471 |
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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: 6 |
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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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| 1.3908 | 1.0 | 501 | 1.3699 | 0.3593 | |
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| 1.2794 | 2.0 | 1002 | 1.4185 | 0.3972 | |
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| 1.0076 | 3.0 | 1503 | 1.5770 | 0.4311 | |
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| 0.7301 | 4.0 | 2004 | 2.1395 | 0.4172 | |
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| 0.5437 | 5.0 | 2505 | 2.2464 | 0.4511 | |
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| 0.4292 | 6.0 | 3006 | 2.6273 | 0.4471 | |
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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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