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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: disitlbert_finetunedmodel |
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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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# disitlbert_finetunedmodel |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4268 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- 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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| 1.5666 | 1.0 | 520 | 1.2041 | |
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| 1.2334 | 2.0 | 1040 | 1.1728 | |
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| 1.1474 | 3.0 | 1560 | 1.1650 | |
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| 1.0639 | 4.0 | 2080 | 1.2005 | |
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| 1.0005 | 5.0 | 2600 | 1.1893 | |
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| 0.9307 | 6.0 | 3120 | 1.2277 | |
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| 0.872 | 7.0 | 3640 | 1.3071 | |
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| 0.8073 | 8.0 | 4160 | 1.2973 | |
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| 0.7666 | 9.0 | 4680 | 1.3650 | |
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| 0.7281 | 10.0 | 5200 | 1.4268 | |
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### Framework versions |
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- Transformers 4.30.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.13.0 |
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- Tokenizers 0.13.3 |
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