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legalectra-small-spanish-becasv3-3
This model is a fine-tuned version of mrm8488/legalectra-small-spanish on the becasv2 dataset. It achieves the following results on the evaluation set:
- Loss: 4.4873
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: 6e-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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 5 | 5.7608 |
| No log | 2.0 | 10 | 5.5991 |
| No log | 3.0 | 15 | 5.5162 |
| No log | 4.0 | 20 | 5.4370 |
| No log | 5.0 | 25 | 5.3521 |
| No log | 6.0 | 30 | 5.2657 |
| No log | 7.0 | 35 | 5.1771 |
| No log | 8.0 | 40 | 5.1024 |
| No log | 9.0 | 45 | 5.0248 |
| No log | 10.0 | 50 | 4.9609 |
| No log | 11.0 | 55 | 4.9167 |
| No log | 12.0 | 60 | 4.8487 |
| No log | 13.0 | 65 | 4.8175 |
| No log | 14.0 | 70 | 4.7646 |
| No log | 15.0 | 75 | 4.7276 |
| No log | 16.0 | 80 | 4.7003 |
| No log | 17.0 | 85 | 4.6518 |
| No log | 18.0 | 90 | 4.6240 |
| No log | 19.0 | 95 | 4.6033 |
| No log | 20.0 | 100 | 4.5601 |
| No log | 21.0 | 105 | 4.5433 |
| No log | 22.0 | 110 | 4.5279 |
| No log | 23.0 | 115 | 4.4981 |
| No log | 24.0 | 120 | 4.4831 |
| No log | 25.0 | 125 | 4.4745 |
| No log | 26.0 | 130 | 4.4607 |
| No log | 27.0 | 135 | 4.4528 |
| No log | 28.0 | 140 | 4.4348 |
| No log | 29.0 | 145 | 4.4418 |
| No log | 30.0 | 150 | 4.4380 |
| No log | 31.0 | 155 | 4.4205 |
| No log | 32.0 | 160 | 4.4373 |
| No log | 33.0 | 165 | 4.4302 |
| No log | 34.0 | 170 | 4.4468 |
| No log | 35.0 | 175 | 4.4512 |
| No log | 36.0 | 180 | 4.4225 |
| No log | 37.0 | 185 | 4.4303 |
| No log | 38.0 | 190 | 4.4562 |
| No log | 39.0 | 195 | 4.4671 |
| No log | 40.0 | 200 | 4.4869 |
| No log | 41.0 | 205 | 4.5046 |
| No log | 42.0 | 210 | 4.4990 |
| No log | 43.0 | 215 | 4.4847 |
| No log | 44.0 | 220 | 4.4770 |
| No log | 45.0 | 225 | 4.4786 |
| No log | 46.0 | 230 | 4.4741 |
| No log | 47.0 | 235 | 4.4797 |
| No log | 48.0 | 240 | 4.4830 |
| No log | 49.0 | 245 | 4.4845 |
| No log | 50.0 | 250 | 4.4873 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
