transformers tensorboard safetensors gpt2 text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: mel_by_genre
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mel_by_genre

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0711

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2000
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step    | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 0.086         | 1.0   | 317105  | 0.0836          |
| 0.0806        | 2.0   | 634210  | 0.0793          |
| 0.0764        | 3.0   | 951315  | 0.0760          |
| 0.0717        | 4.0   | 1268420 | 0.0740          |
| 0.0682        | 5.0   | 1585525 | 0.0723          |
| 0.0649        | 6.0   | 1902630 | 0.0715          |
| 0.0628        | 7.0   | 2219735 | 0.0711          |
| 0.0611        | 8.0   | 2536840 | 0.0708          |
| 0.0595        | 9.0   | 2853945 | 0.0706          |
| 0.058         | 10.0  | 3171050 | 0.0708          |
| 0.0564        | 11.0  | 3488155 | 0.0711          |
| 0.0562        | 12.0  | 3805260 | 0.0709          |
| 0.0555        | 13.0  | 4122365 | 0.0711          |
| 0.0552        | 14.0  | 4439470 | 0.0710          |
| 0.0552        | 15.0  | 4756575 | 0.0711          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
