01f0b57309ede351697c7eb335465a58
This model is a fine-tuned version of FacebookAI/xlm-roberta-large-finetuned-conll02-spanish on the ccdv/patent-classification [abstract] dataset. It achieves the following results on the evaluation set:
- Loss: 1.9843
- Data Size: 0.5
- Epoch Runtime: 71.0292
- Accuracy: 0.2071
- F1 Macro: 0.0381
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro |
|---|---|---|---|---|---|---|---|
| No log | 0 | 0 | 2.3341 | 0 | 7.5730 | 0.1294 | 0.0255 |
| No log | 1 | 781 | 2.0269 | 0.0078 | 8.8871 | 0.1510 | 0.0292 |
| No log | 2 | 1562 | 1.9523 | 0.0156 | 10.0640 | 0.2047 | 0.0471 |
| No log | 3 | 2343 | 1.8650 | 0.0312 | 12.6040 | 0.2903 | 0.1750 |
| 0.0433 | 4 | 3124 | 1.9974 | 0.0625 | 16.9017 | 0.2218 | 0.0403 |
| 2.0177 | 5 | 3905 | 1.9975 | 0.125 | 24.7257 | 0.2218 | 0.0403 |
| 2.0296 | 6 | 4686 | 1.9919 | 0.25 | 39.9628 | 0.2071 | 0.0381 |
| 2.0062 | 7 | 5467 | 1.9843 | 0.5 | 71.0292 | 0.2071 | 0.0381 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1
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