---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tluo_xml_roberta_base_amazon_review_sentiment
  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. -->

# tluo_xml_roberta_base_amazon_review_sentiment

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9552
- Accuracy: 0.6003

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 123
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5664        | 0.33  | 5000  | 1.3816          | 0.5688   |
| 0.9494        | 0.67  | 10000 | 0.9702          | 0.5852   |
| 0.9613        | 1.0   | 15000 | 0.9545          | 0.5917   |
| 0.8611        | 1.33  | 20000 | 0.9689          | 0.5953   |
| 0.8636        | 1.67  | 25000 | 0.9556          | 0.5943   |
| 0.8582        | 2.0   | 30000 | 0.9552          | 0.6003   |
| 0.7555        | 2.33  | 35000 | 1.0001          | 0.5928   |
| 0.7374        | 2.67  | 40000 | 1.0037          | 0.594    |
| 0.733         | 3.0   | 45000 | 0.9976          | 0.5983   |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1