---
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: e_care_xlm_roberta_base_finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# e_care_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: 0.6184
- F1: 0.7208

## 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: 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6735        | 1.0   | 933  | 0.5926          | 0.6639 |
| 0.6001        | 2.0   | 1866 | 0.5624          | 0.6952 |
| 0.5482        | 3.0   | 2799 | 0.5460          | 0.7025 |
| 0.4975        | 4.0   | 3732 | 0.5534          | 0.7122 |
| 0.4487        | 5.0   | 4665 | 0.5646          | 0.7205 |
| 0.4091        | 6.0   | 5598 | 0.5910          | 0.7185 |
| 0.3674        | 7.0   | 6531 | 0.6184          | 0.7208 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1