xnli_en_adalora_alpha_32_drop_02_rank_16
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4329
- Accuracy: 0.8317
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.5524 | 1.0 | 12272 | 0.5105 | 0.7980 |
0.5069 | 2.0 | 24544 | 0.4791 | 0.8153 |
0.484 | 3.0 | 36816 | 0.5075 | 0.8000 |
0.4782 | 4.0 | 49088 | 0.4453 | 0.8249 |
0.4577 | 5.0 | 61360 | 0.4433 | 0.8305 |
0.448 | 6.0 | 73632 | 0.4361 | 0.8277 |
0.4223 | 7.0 | 85904 | 0.4379 | 0.8261 |
0.428 | 8.0 | 98176 | 0.4338 | 0.8361 |
0.4224 | 9.0 | 110448 | 0.4337 | 0.8353 |
0.4105 | 10.0 | 122720 | 0.4329 | 0.8317 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
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