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legalectra-small-spanish-becasv3-5
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: 4.7020
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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 5 | 5.7715 |
| No log | 2.0 | 10 | 5.7001 |
| No log | 3.0 | 15 | 5.6206 |
| No log | 4.0 | 20 | 5.5463 |
| No log | 5.0 | 25 | 5.4866 |
| No log | 6.0 | 30 | 5.4369 |
| No log | 7.0 | 35 | 5.3939 |
| No log | 8.0 | 40 | 5.3545 |
| No log | 9.0 | 45 | 5.3168 |
| No log | 10.0 | 50 | 5.2824 |
| No log | 11.0 | 55 | 5.2504 |
| No log | 12.0 | 60 | 5.2193 |
| No log | 13.0 | 65 | 5.1864 |
| No log | 14.0 | 70 | 5.1515 |
| No log | 15.0 | 75 | 5.1174 |
| No log | 16.0 | 80 | 5.0839 |
| No log | 17.0 | 85 | 5.0497 |
| No log | 18.0 | 90 | 5.0188 |
| No log | 19.0 | 95 | 4.9937 |
| No log | 20.0 | 100 | 4.9726 |
| No log | 21.0 | 105 | 4.9483 |
| No log | 22.0 | 110 | 4.9205 |
| No log | 23.0 | 115 | 4.8993 |
| No log | 24.0 | 120 | 4.8802 |
| No log | 25.0 | 125 | 4.8612 |
| No log | 26.0 | 130 | 4.8498 |
| No log | 27.0 | 135 | 4.8294 |
| No log | 28.0 | 140 | 4.8176 |
| No log | 29.0 | 145 | 4.8144 |
| No log | 30.0 | 150 | 4.8012 |
| No log | 31.0 | 155 | 4.7890 |
| No log | 32.0 | 160 | 4.7745 |
| No log | 33.0 | 165 | 4.7641 |
| No log | 34.0 | 170 | 4.7558 |
| No log | 35.0 | 175 | 4.7474 |
| No log | 36.0 | 180 | 4.7384 |
| No log | 37.0 | 185 | 4.7319 |
| No log | 38.0 | 190 | 4.7262 |
| No log | 39.0 | 195 | 4.7225 |
| No log | 40.0 | 200 | 4.7201 |
| No log | 41.0 | 205 | 4.7165 |
| No log | 42.0 | 210 | 4.7129 |
| No log | 43.0 | 215 | 4.7111 |
| No log | 44.0 | 220 | 4.7086 |
| No log | 45.0 | 225 | 4.7060 |
| No log | 46.0 | 230 | 4.7049 |
| No log | 47.0 | 235 | 4.7036 |
| No log | 48.0 | 240 | 4.7028 |
| No log | 49.0 | 245 | 4.7023 |
| No log | 50.0 | 250 | 4.7020 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
