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--- |
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library_name: transformers |
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base_model: pilotj/distilbert-base-uncased-fibe-full-finetuned |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distil-bert-tweaking |
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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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# distil-bert-tweaking |
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This model is a fine-tuned version of [pilotj/distilbert-base-uncased-fibe-full-finetuned](https://huggingface.co/pilotj/distilbert-base-uncased-fibe-full-finetuned) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4871 |
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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: 8e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 128 |
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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: 0.5 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.3542 | 0.1905 | 500 | 0.4708 | |
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| 0.418 | 0.3810 | 1000 | 0.4670 | |
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| 0.4303 | 0.5714 | 1500 | 0.4833 | |
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| 0.4404 | 0.7619 | 2000 | 0.5177 | |
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| 0.4589 | 0.9524 | 2500 | 0.5050 | |
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| 0.3911 | 1.1429 | 3000 | 0.5887 | |
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| 0.3654 | 1.3333 | 3500 | 0.5227 | |
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| 0.3415 | 1.5238 | 4000 | 0.5158 | |
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| 0.3284 | 1.7143 | 4500 | 0.5228 | |
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| 0.3178 | 1.9048 | 5000 | 0.4871 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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