---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: roberta-large-finetuned-race
  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-finetuned-race

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5249
- Accuracy: 0.3094
- F1: 0.3011
- Precision: 0.3292
- Recall: 0.3011

## 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: 28
- eval_batch_size: 28
- seed: 42
- 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 | F1     | Precision | Recall |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.5519        | 1.1310 | 1200 | 1.5674          | 0.2998   | 0.2964 | 0.3018    | 0.2954 |
| 1.5254        | 2.2620 | 2400 | 1.5249          | 0.3094   | 0.3011 | 0.3292    | 0.3011 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1