|
--- |
|
library_name: transformers |
|
license: mit |
|
base_model: FacebookAI/xlm-roberta-base |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: vmw-xlm-asym-lr-3e-5 |
|
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. --> |
|
|
|
# vmw-xlm-asym-lr-3e-5 |
|
|
|
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0812 |
|
- F1-micro: 0.2355 |
|
- F1-macro: 0.0673 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Use 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_steps: 30 |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
|
| 0.0839 | 1.0 | 78 | 0.0815 | 0.2427 | 0.0888 | |
|
| 0.0817 | 2.0 | 156 | 0.0813 | 0.2427 | 0.0888 | |
|
| 0.0823 | 3.0 | 234 | 0.0812 | 0.2333 | 0.0509 | |
|
| 0.0819 | 4.0 | 312 | 0.0812 | 0.2355 | 0.0673 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.48.1 |
|
- Pytorch 2.4.1+cu121 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
|
|
