|
--- |
|
license: mit |
|
base_model: FacebookAI/xlm-roberta-large |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: token-classification-llmlingua2-xlm-roberta-bctn-538_sample-10_epoch |
|
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. --> |
|
|
|
# token-classification-llmlingua2-xlm-roberta-bctn-538_sample-10_epoch |
|
|
|
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5526 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 108 | 0.5838 | |
|
| No log | 2.0 | 216 | 0.5774 | |
|
| No log | 3.0 | 324 | 0.5648 | |
|
| No log | 4.0 | 432 | 0.5918 | |
|
| 0.5406 | 5.0 | 540 | 0.5526 | |
|
| 0.5406 | 6.0 | 648 | 0.5939 | |
|
| 0.5406 | 7.0 | 756 | 0.5937 | |
|
| 0.5406 | 8.0 | 864 | 0.5791 | |
|
| 0.5406 | 9.0 | 972 | 0.6025 | |
|
| 0.4161 | 10.0 | 1080 | 0.5947 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.0.dev0 |
|
- Pytorch 2.2.1+cu118 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
