---
license: mit
base_model: FacebookAI/roberta-large
tags:
- generated_from_trainer
model-index:
- name: roberta-large-polyhope-multiclass-english
  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-large-polyhope-multiclass-english

This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8522

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1562        | 1.0   | 774  | 1.0325          |
| 1.0038        | 2.0   | 1548 | 0.9082          |
| 0.9901        | 3.0   | 2322 | 0.9801          |
| 0.7897        | 4.0   | 3096 | 0.8522          |
| 0.4418        | 5.0   | 3870 | 0.8531          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2