---
license: apache-2.0
base_model: facebook/blenderbot-400M-distill
tags:
- generated_from_trainer
datasets:
- marsyas/gtzan
model-index:
- name: facebook/blenderbot-400M-distill-finetuned
  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. -->

# facebook/blenderbot-400M-distill-finetuned

This model is a fine-tuned version of [facebook/blenderbot-400M-distill](https://huggingface.co/facebook/blenderbot-400M-distill) on the GTZAN dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1755

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1876        | 1.0   | 838  | 0.1622          |
| 0.149         | 2.0   | 1676 | 0.1604          |
| 0.1226        | 3.0   | 2514 | 0.1657          |
| 0.1066        | 4.0   | 3352 | 0.1708          |
| 0.0944        | 5.0   | 4190 | 0.1755          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1