Model save
Browse files
README.md
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---
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library_name: transformers
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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: distilhubert-finetuned-pulse-train_batch4-epochs30
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results: []
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---
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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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# distilhubert-finetuned-pulse-train_batch4-epochs30
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6146
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- Accuracy: 0.7143
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## 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
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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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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| 0.6853 | 1.0 | 31 | 0.6636 | 0.7143 |
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| 0.706 | 2.0 | 62 | 0.6024 | 0.7143 |
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| 0.681 | 3.0 | 93 | 0.6152 | 0.7143 |
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| 0.6871 | 4.0 | 124 | 0.6462 | 0.7143 |
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| 0.6656 | 5.0 | 155 | 0.6124 | 0.7143 |
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| 0.6782 | 6.0 | 186 | 0.6151 | 0.7143 |
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| 0.6889 | 7.0 | 217 | 0.6671 | 0.7143 |
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| 0.6267 | 8.0 | 248 | 0.6076 | 0.7143 |
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| 0.6768 | 9.0 | 279 | 0.6093 | 0.7143 |
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| 0.6762 | 10.0 | 310 | 0.6150 | 0.7143 |
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| 0.7003 | 11.0 | 341 | 0.6177 | 0.7143 |
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| 0.685 | 12.0 | 372 | 0.6018 | 0.7143 |
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| 0.6524 | 13.0 | 403 | 0.6105 | 0.7143 |
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| 0.6508 | 14.0 | 434 | 0.6178 | 0.7143 |
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| 0.8111 | 15.0 | 465 | 0.6101 | 0.7143 |
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| 0.6728 | 16.0 | 496 | 0.6128 | 0.7143 |
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| 0.6346 | 17.0 | 527 | 0.6183 | 0.7143 |
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| 0.758 | 18.0 | 558 | 0.6007 | 0.7143 |
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| 0.6756 | 19.0 | 589 | 0.6102 | 0.7143 |
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| 0.603 | 20.0 | 620 | 0.6116 | 0.7143 |
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| 0.8049 | 21.0 | 651 | 0.6042 | 0.7143 |
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| 0.6767 | 22.0 | 682 | 0.6077 | 0.7143 |
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| 0.7293 | 23.0 | 713 | 0.6138 | 0.7143 |
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| 0.6312 | 24.0 | 744 | 0.6200 | 0.7143 |
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| 0.7158 | 25.0 | 775 | 0.6202 | 0.7143 |
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| 0.6508 | 26.0 | 806 | 0.6177 | 0.7143 |
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| 0.722 | 27.0 | 837 | 0.6150 | 0.7143 |
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| 0.6738 | 28.0 | 868 | 0.6160 | 0.7143 |
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| 0.7221 | 29.0 | 899 | 0.6143 | 0.7143 |
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| 0.5777 | 30.0 | 930 | 0.6146 | 0.7143 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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size 94763496
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size 94763496
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runs/Jan20_13-58-14_884c4a6da2fa/events.out.tfevents.1737381523.884c4a6da2fa.332.1
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size
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size 55488
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