f80c3d6b0a74135f4d74f28fdb056963
This model is a fine-tuned version of FacebookAI/xlm-roberta-large-finetuned-conll02-spanish on the contemmcm/amazon_reviews_2013 [cell-phone] dataset. It achieves the following results on the evaluation set:
- Loss: 1.4859
- Data Size: 0.25
- Epoch Runtime: 102.0293
- Accuracy: 0.3853
- F1 Macro: 0.1112
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 | 1.8108 | 0 | 22.2393 | 0.0938 | 0.0347 |
| No log | 1 | 1973 | 1.2634 | 0.0078 | 24.9787 | 0.4248 | 0.2045 |
| 0.0292 | 2 | 3946 | 1.1697 | 0.0156 | 27.2736 | 0.5074 | 0.3316 |
| 1.3051 | 3 | 5919 | 1.4831 | 0.0312 | 32.7455 | 0.3853 | 0.1113 |
| 1.5053 | 4 | 7892 | 1.4888 | 0.0625 | 43.1319 | 0.3853 | 0.1112 |
| 1.4807 | 5 | 9865 | 1.4859 | 0.125 | 63.6543 | 0.3853 | 0.1112 |
| 1.4975 | 6 | 11838 | 1.4859 | 0.25 | 102.0293 | 0.3853 | 0.1112 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1
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