---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_IMDB_roberta
  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. -->

# my_awesome_IMDB_roberta

This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6932
- Accuracy: 0.5

## 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.7042        | 1.0   | 3125  | 0.7165          | 0.5      |
| 0.703         | 2.0   | 6250  | 0.6988          | 0.5      |
| 0.7011        | 3.0   | 9375  | 0.6976          | 0.5      |
| 0.701         | 4.0   | 12500 | 0.6945          | 0.5      |
| 0.6971        | 5.0   | 15625 | 0.6980          | 0.5      |
| 0.6975        | 6.0   | 18750 | 0.6934          | 0.5      |
| 0.697         | 7.0   | 21875 | 0.6949          | 0.5      |
| 0.6962        | 8.0   | 25000 | 0.6935          | 0.5      |
| 0.6952        | 9.0   | 28125 | 0.6933          | 0.5      |
| 0.6957        | 10.0  | 31250 | 0.6932          | 0.5      |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3