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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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