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es_fi_all_quy
This model is a fine-tuned version of nouman-10/es_fi_all_quy on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4858
- Bleu: 1.9345
- Chrf: 34.1553
- Gen Len: 38.1579
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len |
|---|---|---|---|---|---|---|
| 0.2239 | 0.09 | 1000 | 0.4842 | 1.613 | 34.0838 | 37.4266 |
| 0.2256 | 0.17 | 2000 | 0.4808 | 1.5738 | 32.9285 | 43.005 |
| 0.2178 | 0.26 | 3000 | 0.4820 | 1.499 | 32.8545 | 41.5795 |
| 0.2175 | 0.34 | 4000 | 0.4828 | 1.6725 | 33.3302 | 39.0342 |
| 0.223 | 0.43 | 5000 | 0.4864 | 2.343 | 34.8172 | 35.6197 |
| 0.2286 | 0.51 | 6000 | 0.4743 | 1.7218 | 33.6246 | 42.0755 |
| 0.2281 | 0.6 | 7000 | 0.4794 | 1.7699 | 34.7209 | 38.7716 |
| 0.2243 | 0.68 | 8000 | 0.4802 | 1.7605 | 34.16 | 37.6258 |
| 0.236 | 0.77 | 9000 | 0.4772 | 1.5908 | 33.9113 | 39.0543 |
| 0.2309 | 0.85 | 10000 | 0.4756 | 2.0459 | 34.2757 | 38.2404 |
| 0.2303 | 0.94 | 11000 | 0.4762 | 1.8315 | 34.3413 | 37.7465 |
| 0.2218 | 1.02 | 12000 | 0.4860 | 1.8359 | 33.5176 | 38.5392 |
| 0.217 | 1.11 | 13000 | 0.4811 | 1.9919 | 34.0441 | 37.3702 |
| 0.2158 | 1.19 | 14000 | 0.4845 | 1.6391 | 34.5521 | 37.0493 |
| 0.2211 | 1.28 | 15000 | 0.4858 | 1.9345 | 34.1553 | 38.1579 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
