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---
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: COPA_xlm_roberta_base_finetuned
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. -->
# COPA_xlm_roberta_base_finetuned
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: 0.6931
- F1: 0.53
## 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: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| No log | 1.0 | 250 | 0.6932 | 0.468 |
| 0.6972 | 2.0 | 500 | 0.6931 | 0.498 |
| 0.6972 | 3.0 | 750 | 0.6932 | 0.474 |
| 0.695 | 4.0 | 1000 | 0.6931 | 0.486 |
| 0.695 | 5.0 | 1250 | 0.6931 | 0.514 |
| 0.6963 | 6.0 | 1500 | 0.6931 | 0.538 |
| 0.6963 | 7.0 | 1750 | 0.6931 | 0.53 |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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