---
license: mit
tags:
- generated_from_trainer
model-index:
- name: lmd-8bars-2048-epochs10
  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-epochs10

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0086

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.4182        | 0.5   | 4994  | 1.4933          |
| 1.4626        | 1.0   | 9988  | 1.3082          |
| 1.3176        | 1.5   | 14982 | 1.2276          |
| 1.2604        | 2.0   | 19976 | 1.1815          |
| 1.2101        | 2.5   | 24970 | 1.1499          |
| 1.1804        | 3.0   | 29964 | 1.1260          |
| 1.1517        | 3.5   | 34958 | 1.1043          |
| 1.1349        | 4.0   | 39952 | 1.0887          |
| 1.1133        | 4.5   | 44946 | 1.0762          |
| 1.0995        | 5.0   | 49940 | 1.0618          |
| 1.0824        | 5.5   | 54934 | 1.0507          |
| 1.0713        | 6.0   | 59928 | 1.0423          |
| 1.0552        | 6.5   | 64922 | 1.0328          |
| 1.0505        | 7.0   | 69916 | 1.0279          |
| 1.0365        | 7.5   | 74910 | 1.0217          |
| 1.0307        | 8.0   | 79904 | 1.0153          |
| 1.022         | 8.5   | 84898 | 1.0107          |
| 1.0189        | 9.0   | 89892 | 1.0090          |
| 1.0129        | 9.5   | 94886 | 1.0084          |
| 1.0139        | 10.0  | 99880 | 1.0086          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3