---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
base_model: Prasadrao/roberta-large-go-emotions
model-index:
- name: roberta-large-go-emotions_v2
  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-go-emotions_v2

This model is a fine-tuned version of [Prasadrao/roberta-large-go-emotions](https://huggingface.co./Prasadrao/roberta-large-go-emotions) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0952
- Accuracy: 0.4613
- Precision: 0.5326
- Recall: 0.5126
- F1: 0.5165

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 679  | 0.0844          | 0.4552   | 0.5190    | 0.5026 | 0.4984 |
| 0.0647        | 2.0   | 1358 | 0.0866          | 0.4449   | 0.5308    | 0.5100 | 0.5063 |
| 0.0647        | 3.0   | 2037 | 0.0898          | 0.4471   | 0.5261    | 0.5253 | 0.5166 |
| 0.0473        | 4.0   | 2716 | 0.0952          | 0.4613   | 0.5326    | 0.5126 | 0.5165 |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.1