FNST_trad_k
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0507
- Accuracy: 0.6275
- F1: 0.6275
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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 36
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
1.1468 | 1.0 | 1500 | 1.0961 | 0.52 | 0.4256 |
1.0016 | 2.0 | 3000 | 0.9821 | 0.5742 | 0.5705 |
0.9255 | 3.0 | 4500 | 0.9492 | 0.5833 | 0.5865 |
0.8837 | 4.0 | 6000 | 0.9318 | 0.5825 | 0.5837 |
0.8417 | 5.0 | 7500 | 0.9306 | 0.5992 | 0.5978 |
0.8013 | 6.0 | 9000 | 0.9318 | 0.6017 | 0.6045 |
0.7621 | 7.0 | 10500 | 0.9359 | 0.605 | 0.6052 |
0.7504 | 8.0 | 12000 | 0.9394 | 0.61 | 0.6121 |
0.6951 | 9.0 | 13500 | 0.9744 | 0.6092 | 0.6063 |
0.6763 | 10.0 | 15000 | 0.9820 | 0.61 | 0.6099 |
0.612 | 11.0 | 16500 | 1.0162 | 0.6158 | 0.6116 |
0.593 | 12.0 | 18000 | 1.0400 | 0.6158 | 0.6193 |
0.5561 | 13.0 | 19500 | 1.0735 | 0.6158 | 0.6167 |
0.5342 | 14.0 | 21000 | 1.0789 | 0.6158 | 0.6132 |
0.4931 | 15.0 | 22500 | 1.1443 | 0.6167 | 0.6136 |
0.4758 | 16.0 | 24000 | 1.1832 | 0.6192 | 0.6195 |
0.4346 | 17.0 | 25500 | 1.2587 | 0.62 | 0.6196 |
0.3959 | 18.0 | 27000 | 1.3334 | 0.6167 | 0.6178 |
0.3848 | 19.0 | 28500 | 1.3624 | 0.6258 | 0.6245 |
0.35 | 20.0 | 30000 | 1.4552 | 0.6233 | 0.6227 |
0.3094 | 21.0 | 31500 | 1.5021 | 0.6208 | 0.6206 |
0.3221 | 22.0 | 33000 | 1.6168 | 0.6242 | 0.6228 |
0.2803 | 23.0 | 34500 | 1.6995 | 0.6225 | 0.6201 |
0.2722 | 24.0 | 36000 | 1.8134 | 0.625 | 0.6232 |
0.2355 | 25.0 | 37500 | 1.9296 | 0.6167 | 0.6137 |
0.2285 | 26.0 | 39000 | 2.0198 | 0.6283 | 0.6268 |
0.211 | 27.0 | 40500 | 2.1630 | 0.6208 | 0.6220 |
0.1857 | 28.0 | 42000 | 2.2532 | 0.6275 | 0.6244 |
0.188 | 29.0 | 43500 | 2.4117 | 0.625 | 0.6228 |
0.1787 | 30.0 | 45000 | 2.4971 | 0.6275 | 0.6257 |
0.1687 | 31.0 | 46500 | 2.6493 | 0.6217 | 0.6191 |
0.1534 | 32.0 | 48000 | 2.7295 | 0.6217 | 0.6169 |
0.1606 | 33.0 | 49500 | 2.9021 | 0.6208 | 0.6198 |
0.1537 | 34.0 | 51000 | 2.9315 | 0.6167 | 0.6162 |
0.1284 | 35.0 | 52500 | 3.0047 | 0.6208 | 0.6217 |
0.1359 | 36.0 | 54000 | 3.0507 | 0.6275 | 0.6275 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
dccuchile/bert-base-spanish-wwm-cased