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kaz_legal_distilbert_full_corpus_10.0_16
This model is a fine-tuned version of kaisar-barlybay-sse/kaz_legal_distilbert_full_corpus_10.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0806
- Accuracy: 0.4351
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4013 | 1.0 | 501 | 1.3849 | 0.3473 |
| 1.3954 | 2.0 | 1002 | 1.3853 | 0.3234 |
| 1.3874 | 3.0 | 1503 | 1.3864 | 0.2216 |
| 1.3995 | 4.0 | 2004 | 1.3863 | 0.3513 |
| 1.3944 | 5.0 | 2505 | 1.3862 | 0.3473 |
| 1.3829 | 6.0 | 3006 | 1.3858 | 0.3713 |
| 1.2411 | 7.0 | 3507 | 1.4126 | 0.3972 |
| 0.9506 | 8.0 | 4008 | 1.7895 | 0.3992 |
| 0.7435 | 9.0 | 4509 | 1.5649 | 0.4212 |
| 0.5988 | 10.0 | 5010 | 2.6088 | 0.4371 |
| 0.4972 | 11.0 | 5511 | 2.8238 | 0.4371 |
| 0.4111 | 12.0 | 6012 | 3.2902 | 0.4431 |
| 0.3471 | 13.0 | 6513 | 3.5568 | 0.4212 |
| 0.3065 | 14.0 | 7014 | 3.9031 | 0.4351 |
| 0.3015 | 15.0 | 7515 | 4.0874 | 0.4311 |
| 0.2873 | 16.0 | 8016 | 4.0806 | 0.4351 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
