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legalectra-small-spanish-becasv3-4
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: 4.1290
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: 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 | 5.6625 |
| No log | 2.0 | 10 | 5.4940 |
| No log | 3.0 | 15 | 5.3886 |
| No log | 4.0 | 20 | 5.3004 |
| No log | 5.0 | 25 | 5.2210 |
| No log | 6.0 | 30 | 5.1434 |
| No log | 7.0 | 35 | 5.0546 |
| No log | 8.0 | 40 | 4.9726 |
| No log | 9.0 | 45 | 4.9227 |
| No log | 10.0 | 50 | 4.8344 |
| No log | 11.0 | 55 | 4.7749 |
| No log | 12.0 | 60 | 4.7381 |
| No log | 13.0 | 65 | 4.7016 |
| No log | 14.0 | 70 | 4.6581 |
| No log | 15.0 | 75 | 4.6231 |
| No log | 16.0 | 80 | 4.5900 |
| No log | 17.0 | 85 | 4.5446 |
| No log | 18.0 | 90 | 4.5041 |
| No log | 19.0 | 95 | 4.4635 |
| No log | 20.0 | 100 | 4.4356 |
| No log | 21.0 | 105 | 4.3985 |
| No log | 22.0 | 110 | 4.3650 |
| No log | 23.0 | 115 | 4.3540 |
| No log | 24.0 | 120 | 4.3270 |
| No log | 25.0 | 125 | 4.2873 |
| No log | 26.0 | 130 | 4.2808 |
| No log | 27.0 | 135 | 4.2623 |
| No log | 28.0 | 140 | 4.2466 |
| No log | 29.0 | 145 | 4.2488 |
| No log | 30.0 | 150 | 4.2410 |
| No log | 31.0 | 155 | 4.2187 |
| No log | 32.0 | 160 | 4.2000 |
| No log | 33.0 | 165 | 4.1883 |
| No log | 34.0 | 170 | 4.1803 |
| No log | 35.0 | 175 | 4.1773 |
| No log | 36.0 | 180 | 4.1652 |
| No log | 37.0 | 185 | 4.1614 |
| No log | 38.0 | 190 | 4.1609 |
| No log | 39.0 | 195 | 4.1652 |
| No log | 40.0 | 200 | 4.1560 |
| No log | 41.0 | 205 | 4.1435 |
| No log | 42.0 | 210 | 4.1463 |
| No log | 43.0 | 215 | 4.1434 |
| No log | 44.0 | 220 | 4.1340 |
| No log | 45.0 | 225 | 4.1259 |
| No log | 46.0 | 230 | 4.1212 |
| No log | 47.0 | 235 | 4.1224 |
| No log | 48.0 | 240 | 4.1257 |
| No log | 49.0 | 245 | 4.1284 |
| No log | 50.0 | 250 | 4.1290 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
