| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: 4M-ACT |
| 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. --> |
|
|
| # 4M-ACT |
|
|
| This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2253 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
|
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| More information needed |
|
|
| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 0.0003 |
| - train_batch_size: 64 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: constant |
| - training_steps: 2000 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 3.5504 | 0.0135 | 200 | 3.3654 | |
| | 1.0185 | 0.0270 | 400 | 0.9663 | |
| | 0.4490 | 0.0404 | 600 | 0.4422 | |
| | 0.3504 | 0.0539 | 800 | 0.3512 | |
| | 0.3106 | 0.0674 | 1000 | 0.3083 | |
| | 0.2867 | 0.0809 | 1200 | 0.2812 | |
| | 0.2550 | 0.0944 | 1400 | 0.2564 | |
| | 0.2600 | 0.1079 | 1600 | 0.2609 | |
| | 0.2334 | 0.1213 | 1800 | 0.2323 | |
| | 0.2238 | 0.1348 | 2000 | 0.2253 | |
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| ### Framework versions |
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| - Transformers 5.15.0.dev0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 5.0.1 |
| - Tokenizers 0.22.2 |
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|
