---
base_model: juancopi81/lmd-8bars-2048-epochs30_v4
tags:
- generated_from_trainer
model-index:
- name: lmd-8bars-2048-epochs30_v4
  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. -->

# lmd-8bars-2048-epochs30_v4

This model is a fine-tuned version of [juancopi81/lmd-8bars-2048-epochs30_v4](https://huggingface.co/juancopi81/lmd-8bars-2048-epochs30_v4) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9294

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 4
- seed: 1
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9882        | 0.5   | 4994  | 0.9826          |
| 0.9945        | 1.0   | 9988  | 0.9719          |
| 0.9814        | 1.5   | 14982 | 0.9667          |
| 0.9783        | 2.0   | 19976 | 0.9565          |
| 0.963         | 2.5   | 24970 | 0.9501          |
| 0.9534        | 3.0   | 29964 | 0.9406          |
| 0.94          | 3.5   | 34958 | 0.9384          |
| 0.9341        | 4.0   | 39952 | 0.9311          |
| 0.9246        | 4.5   | 44946 | 0.9293          |
| 0.9224        | 5.0   | 49940 | 0.9294          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3