| ---
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| tags:
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| - generated_from_trainer
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| metrics:
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| - accuracy
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| model-index:
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| - name: ASD_Behavour-trainining2
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| results: []
|
| ---
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|
|
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| should probably proofread and complete it, then remove this comment. -->
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|
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| # ASD_Behavour-trainining2
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|
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| This model was trained from scratch on an unknown dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.9525
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| - Accuracy: 0.3636
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|
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| ## Model description
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| More information needed
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|
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| ## Intended uses & limitations
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| More information needed
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|
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| ## Training and evaluation data
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| More information needed
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|
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| ## Training procedure
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| ### Training hyperparameters
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| The following hyperparameters were used during training:
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| - learning_rate: 5e-05
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| - train_batch_size: 8
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| - eval_batch_size: 8
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| - seed: 42
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| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| - lr_scheduler_type: linear
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| - lr_scheduler_warmup_ratio: 0.1
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| - training_steps: 30
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|
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| ### Training results
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|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| |:-------------:|:-------:|:----:|:---------------:|:--------:|
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| | No log | 0.0667 | 2 | 1.0015 | 0.5556 |
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| | No log | 1.0667 | 4 | 0.9530 | 0.5556 |
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| | No log | 2.0667 | 6 | 1.2045 | 0.2222 |
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| | No log | 3.0667 | 8 | 1.5476 | 0.2593 |
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| | 0.4992 | 4.0667 | 10 | 1.3886 | 0.2222 |
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| | 0.4992 | 5.0667 | 12 | 1.1887 | 0.3333 |
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| | 0.4992 | 6.0667 | 14 | 1.0209 | 0.5185 |
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| | 0.4992 | 7.0667 | 16 | 0.9728 | 0.7407 |
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| | 0.4992 | 8.0667 | 18 | 0.9164 | 0.6667 |
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| | 0.3577 | 9.0667 | 20 | 0.8789 | 0.6667 |
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| | 0.3577 | 10.0667 | 22 | 0.8177 | 0.6667 |
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| | 0.3577 | 11.0667 | 24 | 0.8500 | 0.6296 |
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| | 0.3577 | 12.0667 | 26 | 0.9112 | 0.6296 |
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| | 0.3577 | 13.0667 | 28 | 0.9497 | 0.6667 |
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| | 0.1819 | 14.0667 | 30 | 0.9656 | 0.6667 |
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| ### Framework versions
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| - Transformers 4.41.0
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| - Pytorch 2.3.0+cu121
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| - Datasets 2.19.1
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| - Tokenizers 0.19.1
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|
