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# tanshi-models-224-ep10

This model is a fine-tuned version of [YxBxRyXJx/tanshi-models-224](https://huggingface.co/YxBxRyXJx/tanshi-models-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8686

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.1351 | 20   | 1.0816          |
| No log        | 0.2703 | 40   | 1.1103          |
| 1.2252        | 0.4054 | 60   | 1.0766          |
| 1.2252        | 0.5405 | 80   | 1.1650          |
| 1.2016        | 0.6757 | 100  | 1.0430          |
| 1.2016        | 0.8108 | 120  | 1.0198          |
| 1.2016        | 0.9459 | 140  | 1.0058          |
| 1.1913        | 1.0811 | 160  | 1.0173          |
| 1.1913        | 1.2162 | 180  | 1.0246          |
| 1.1996        | 1.3514 | 200  | 1.0407          |
| 1.1996        | 1.4865 | 220  | 1.0185          |
| 1.1996        | 1.6216 | 240  | 0.9941          |
| 1.1931        | 1.7568 | 260  | 0.9983          |
| 1.1931        | 1.8919 | 280  | 1.0098          |
| 1.1227        | 2.0270 | 300  | 1.0127          |
| 1.1227        | 2.1622 | 320  | 0.9726          |
| 1.1227        | 2.2973 | 340  | 0.9944          |
| 1.1479        | 2.4324 | 360  | 1.0146          |
| 1.1479        | 2.5676 | 380  | 0.9614          |
| 1.0578        | 2.7027 | 400  | 0.9794          |
| 1.0578        | 2.8378 | 420  | 0.9699          |
| 1.0578        | 2.9730 | 440  | 0.9782          |
| 1.1325        | 3.1081 | 460  | 0.9551          |
| 1.1325        | 3.2432 | 480  | 0.9714          |
| 1.0768        | 3.3784 | 500  | 0.9524          |
| 1.0768        | 3.5135 | 520  | 0.9540          |
| 1.0768        | 3.6486 | 540  | 0.9115          |
| 1.067         | 3.7838 | 560  | 0.8934          |
| 1.067         | 3.9189 | 580  | 0.9231          |
| 1.0786        | 4.0541 | 600  | 0.9242          |
| 1.0786        | 4.1892 | 620  | 0.8910          |
| 1.0786        | 4.3243 | 640  | 0.8810          |
| 1.0959        | 4.4595 | 660  | 0.8875          |
| 1.0959        | 4.5946 | 680  | 0.8753          |
| 1.0206        | 4.7297 | 700  | 0.8724          |
| 1.0206        | 4.8649 | 720  | 0.8699          |
| 1.0206        | 5.0    | 740  | 0.8686          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.0.2
- Tokenizers 0.20.1

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