mtl-infoxlm-base-viwiki-5-5
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: 0.5718
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 |
|---|---|---|---|
| 1.1118 | 1.0 | 960 | 0.8351 |
| 0.7712 | 2.0 | 1920 | 0.7160 |
| 0.7633 | 3.0 | 2880 | 0.6568 |
| 0.759 | 4.0 | 3840 | 0.6200 |
| 0.5955 | 5.0 | 4800 | 0.6106 |
| 0.6873 | 6.0 | 5760 | 0.5815 |
| 0.5192 | 7.0 | 6720 | 0.5670 |
| 0.4578 | 8.0 | 7680 | 0.5813 |
| 0.4473 | 9.0 | 8640 | 0.5756 |
| 0.2988 | 10.0 | 9600 | 0.5718 |
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