mtl-infoxlm-base-viwiki-3-7
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: 0.6374
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 |
|---|---|---|---|
| 1.46 | 1.0 | 960 | 1.1906 |
| 1.0221 | 2.0 | 1920 | 0.8743 |
| 0.8335 | 3.0 | 2880 | 0.7794 |
| 0.8466 | 4.0 | 3840 | 0.7162 |
| 0.702 | 5.0 | 4800 | 0.6996 |
| 0.741 | 6.0 | 5760 | 0.6525 |
| 0.615 | 7.0 | 6720 | 0.6300 |
| 0.6112 | 8.0 | 7680 | 0.6404 |
| 0.5314 | 9.0 | 8640 | 0.6420 |
| 0.3893 | 10.0 | 9600 | 0.6374 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.4.0
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 13
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.
Model tree for MiuN2k3/mtl-infoxlm-base-viwiki-3-7
Base model
microsoft/infoxlm-base