---
license: mit
base_model: SamLowe/roberta-base-go_emotions
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bert-finetuned-sem_eval-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. -->

# bert-finetuned-sem_eval-english

This model is a fine-tuned version of [SamLowe/roberta-base-go_emotions](https://huggingface.co/SamLowe/roberta-base-go_emotions) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1189
- F1: 0.5833
- Roc Auc: 0.7555
- Accuracy: 0.3939

## 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: 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     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 29   | 0.1381          | 0.5217 | 0.7178  | 0.3030   |
| No log        | 2.0   | 58   | 0.1193          | 0.5532 | 0.7367  | 0.3636   |
| No log        | 3.0   | 87   | 0.1220          | 0.5417 | 0.7355  | 0.3636   |
| No log        | 4.0   | 116  | 0.1189          | 0.5833 | 0.7555  | 0.3939   |
| No log        | 5.0   | 145  | 0.1186          | 0.5833 | 0.7555  | 0.3939   |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2