token-classification-llmlingua2-xlm-roberta-42k_merge_10_epoch
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3844
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-05
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 356 | 0.4778 |
| 0.5004 | 2.0 | 712 | 0.4424 |
| 0.4305 | 3.0 | 1068 | 0.3954 |
| 0.4305 | 4.0 | 1424 | 0.3983 |
| 0.3975 | 5.0 | 1780 | 0.4055 |
| 0.3756 | 6.0 | 2136 | 0.4006 |
| 0.3756 | 7.0 | 2492 | 0.3892 |
| 0.3587 | 8.0 | 2848 | 0.3958 |
| 0.3451 | 9.0 | 3204 | 0.3844 |
| 0.3355 | 10.0 | 3560 | 0.3947 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
FacebookAI/xlm-roberta-large