mtl-infoxlm-base-dsc-7-3
This model is a fine-tuned version of microsoft/infoxlm-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5735
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1793 | 1.0 | 1544 | 0.9898 |
| 1.0322 | 2.0 | 3088 | 0.8005 |
| 0.7698 | 3.0 | 4632 | 0.6890 |
| 0.6844 | 4.0 | 6176 | 0.6114 |
| 0.957 | 5.0 | 7720 | 0.5901 |
| 0.5807 | 6.0 | 9264 | 0.5674 |
| 0.5145 | 7.0 | 10808 | 0.5890 |
| 0.4951 | 8.0 | 12352 | 0.5666 |
| 0.4573 | 9.0 | 13896 | 0.5439 |
| 0.5415 | 10.0 | 15440 | 0.5735 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.4.0
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
microsoft/infoxlm-base