| --- |
| library_name: transformers |
| license: mit |
| base_model: jla25/results |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: square1.2 |
| 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. --> |
|
|
| # square1.2 |
|
|
| This model is a fine-tuned version of [jla25/results](https://huggingface.co/jla25/results) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0074 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## 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: 5e-06 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 75 | 0.0286 | |
| | No log | 2.0 | 150 | 0.0172 | |
| | No log | 3.0 | 225 | 0.0129 | |
| | No log | 4.0 | 300 | 0.0103 | |
| | No log | 5.0 | 375 | 0.0088 | |
| | No log | 6.0 | 450 | 0.0082 | |
| | 0.0187 | 7.0 | 525 | 0.0078 | |
| | 0.0187 | 8.0 | 600 | 0.0076 | |
| | 0.0187 | 9.0 | 675 | 0.0074 | |
| | 0.0187 | 10.0 | 750 | 0.0074 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.44.2 |
| - Pytorch 2.5.0+cu121 |
| - Tokenizers 0.19.1 |
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|
