---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta-base-finetuned-nlp-letters-TEXT-none-class-weighted
  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-base-finetuned-nlp-letters-TEXT-none-class-weighted

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0208
- F1: 0.9987

## 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: 16
- eval_batch_size: 16
- 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 221  | 0.0380          | 0.9961 |
| No log        | 2.0   | 442  | 0.0275          | 0.9961 |
| 0.0339        | 3.0   | 663  | 0.0208          | 0.9987 |
| 0.0339        | 4.0   | 884  | 0.0173          | 0.9987 |
| 0.0008        | 5.0   | 1105 | 0.0228          | 0.9987 |
| 0.0008        | 6.0   | 1326 | 0.0223          | 0.9987 |
| 0.0           | 7.0   | 1547 | 0.0221          | 0.9987 |
| 0.0           | 8.0   | 1768 | 0.0222          | 0.9987 |
| 0.0           | 9.0   | 1989 | 0.0223          | 0.9987 |
| 0.0           | 10.0  | 2210 | 0.0223          | 0.9987 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1