|
--- |
|
library_name: transformers |
|
base_model: microsoft/infoxlm-base |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: mtl-infoxlm-base-dsc-7-3 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# mtl-infoxlm-base-dsc-7-3 |
|
|
|
This model is a fine-tuned version of [microsoft/infoxlm-base](https://huggingface.co/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 |
|
|
