---
library_name: transformers
license: mit
base_model: FacebookAI/roberta-large-mnli
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-imdbv2
  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. -->

# roberta-imdbv2

This model is a fine-tuned version of [FacebookAI/roberta-large-mnli](https://huggingface.co/FacebookAI/roberta-large-mnli) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2863
- Accuracy: 0.9575

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 250  | 0.3245          | 0.893    |
| 0.187         | 2.0   | 500  | 0.2042          | 0.95     |
| 0.187         | 3.0   | 750  | 0.2420          | 0.945    |
| 0.0659        | 4.0   | 1000 | 0.2778          | 0.94     |
| 0.0659        | 5.0   | 1250 | 0.2799          | 0.9475   |
| 0.0237        | 6.0   | 1500 | 0.2868          | 0.951    |
| 0.0237        | 7.0   | 1750 | 0.2748          | 0.954    |
| 0.0118        | 8.0   | 2000 | 0.2940          | 0.9555   |
| 0.0118        | 9.0   | 2250 | 0.2871          | 0.9565   |
| 0.0069        | 10.0  | 2500 | 0.2863          | 0.9575   |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3