---
base_model: juancopi81/lmd-8bars-2048-epochs30_v4
tags:
- generated_from_trainer
model-index:
- name: lmd-8bars-2048-epochs40_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-epochs40_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: 0.9128

## 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
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.959         | 0.5   | 4994  | 0.9735          |
| 0.9841        | 1.0   | 9988  | 0.9691          |
| 0.9779        | 1.5   | 14982 | 0.9632          |
| 0.9818        | 2.0   | 19976 | 0.9590          |
| 0.9736        | 2.5   | 24970 | 0.9610          |
| 0.9715        | 3.0   | 29964 | 0.9552          |
| 0.9629        | 3.5   | 34958 | 0.9520          |
| 0.9623        | 4.0   | 39952 | 0.9435          |
| 0.9509        | 4.5   | 44946 | 0.9442          |
| 0.9499        | 5.0   | 49940 | 0.9404          |
| 0.9367        | 5.5   | 54934 | 0.9334          |
| 0.9376        | 6.0   | 59928 | 0.9308          |
| 0.9247        | 6.5   | 64922 | 0.9270          |
| 0.9255        | 7.0   | 69916 | 0.9200          |
| 0.9163        | 7.5   | 74910 | 0.9184          |
| 0.9123        | 8.0   | 79904 | 0.9160          |
| 0.9071        | 8.5   | 84898 | 0.9147          |
| 0.9042        | 9.0   | 89892 | 0.9132          |
| 0.9026        | 9.5   | 94886 | 0.9124          |
| 0.9012        | 10.0  | 99880 | 0.9128          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3