transformers tensorboard safetensors xlm-roberta generated_from_trainer base_model:xlm-roberta-base license:mit endpoints_compatible region:us
---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-absa
  results: []
---

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# xlm-roberta-base-absa

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1653
- F1: 0.6384
- F1 Macro: 0.6187

## 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: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | F1 Macro |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| 0.271         | 1.0   | 102  | 0.1841          | 0.3987 | 0.3050   |
| 0.1143        | 2.0   | 204  | 0.1321          | 0.5433 | 0.4849   |
| 0.0704        | 3.0   | 306  | 0.1464          | 0.5682 | 0.5350   |
| 0.0473        | 4.0   | 408  | 0.1463          | 0.6021 | 0.5772   |
| 0.0307        | 5.0   | 510  | 0.1571          | 0.6278 | 0.6003   |
| 0.0192        | 6.0   | 612  | 0.1653          | 0.6384 | 0.6187   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.3.0.dev20240121
- Datasets 2.16.1
- Tokenizers 0.15.0
