---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Roberta-classweight-Sentiment-identifier
  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-classweight-Sentiment-identifier

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8158
- F1: 0.6592

## 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
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8212        | 0.5   | 500  | 1.1575          | 0.2482 |
| 0.8156        | 1.0   | 1000 | 0.8164          | 0.6421 |
| 0.8291        | 1.5   | 1500 | 0.8158          | 0.6592 |
| 0.8044        | 2.01  | 2000 | 0.8315          | 0.6372 |
| 0.7937        | 2.51  | 2500 | 0.8362          | 0.6618 |
| 0.8094        | 3.01  | 3000 | 0.8188          | 0.6703 |
| 0.833         | 3.51  | 3500 | 0.8447          | 0.6650 |
| 0.8259        | 4.01  | 4000 | 0.8478          | 0.6631 |
| 0.8374        | 4.51  | 4500 | 0.8255          | 0.6626 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3