---
tags:
- generated_from_trainer
model-index:
- name: chord_model
  results: []
---

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

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5219

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 444
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.3
- training_steps: 0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9483        | 0.43  | 500  | 0.8710          |
| 0.7688        | 0.86  | 1000 | 0.7363          |
| 0.6949        | 1.28  | 1500 | 0.6479          |
| 0.6295        | 1.71  | 2000 | 0.5840          |
| 0.6093        | 2.14  | 2500 | 0.5532          |
| 0.5865        | 2.57  | 3000 | 0.5368          |
| 0.5559        | 2.99  | 3500 | 0.5281          |
| 0.5772        | 3.42  | 4000 | 0.5236          |
| 0.5641        | 3.85  | 4500 | 0.5219          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1