---
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
metrics:
- accuracy
base_model: Rajaram1996/Hubert_emotion
model-index:
- name: Hubert_emotion-finetuned-gtzan-efficient
  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. -->

# Hubert_emotion-finetuned-gtzan-efficient

This model is a fine-tuned version of [Rajaram1996/Hubert_emotion](https://huggingface.co/Rajaram1996/Hubert_emotion) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2341
- Accuracy: 0.65

## 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2127        | 1.0   | 113  | 2.2191          | 0.25     |
| 1.9102        | 2.0   | 226  | 2.0018          | 0.37     |
| 1.7139        | 3.0   | 339  | 1.7588          | 0.4      |
| 1.5825        | 4.0   | 452  | 1.5608          | 0.41     |
| 1.1426        | 5.0   | 565  | 1.4300          | 0.5      |
| 1.8976        | 6.0   | 678  | 1.1726          | 0.56     |
| 0.9303        | 7.0   | 791  | 1.1559          | 0.56     |
| 0.8845        | 8.0   | 904  | 1.1501          | 0.65     |
| 0.2069        | 9.0   | 1017 | 1.2055          | 0.58     |
| 1.9863        | 10.0  | 1130 | 1.0804          | 0.62     |
| 2.0317        | 11.0  | 1243 | 1.2341          | 0.65     |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.1.0.dev20230627+cu121
- Datasets 2.13.1
- Tokenizers 0.13.3