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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: assitant_model_classification |
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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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# assitant_model_classification |
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This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilbert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0008 |
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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: 0.0002 |
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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: 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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6274 | 1.0 | 11 | 0.4715 | |
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| 0.3872 | 2.0 | 22 | 0.1859 | |
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| 0.099 | 3.0 | 33 | 0.0306 | |
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| 0.0177 | 4.0 | 44 | 0.0224 | |
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| 0.0039 | 5.0 | 55 | 0.0024 | |
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| 0.0015 | 6.0 | 66 | 0.0009 | |
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| 0.0019 | 7.0 | 77 | 0.0009 | |
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| 0.0008 | 8.0 | 88 | 0.0009 | |
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| 0.0004 | 9.0 | 99 | 0.0008 | |
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| 0.0003 | 10.0 | 110 | 0.0008 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Tokenizers 0.21.0 |
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