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--- |
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license: mit |
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base_model: prajjwal1/bert-tiny |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-tiny-finetuned-wikitext2 |
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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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# bert-tiny-finetuned-wikitext2 |
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This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7805 |
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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: 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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- 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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| 3.5579 | 1.0 | 16295 | 3.1073 | |
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| 3.3944 | 2.0 | 32590 | 2.9692 | |
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| 3.2968 | 3.0 | 48885 | 2.8999 | |
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| 3.2654 | 4.0 | 65180 | 2.8584 | |
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| 3.2519 | 5.0 | 81475 | 2.8261 | |
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| 3.2435 | 6.0 | 97770 | 2.8016 | |
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| 3.2276 | 7.0 | 114065 | 2.7961 | |
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| 3.1999 | 8.0 | 130360 | 2.7843 | |
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| 3.1726 | 9.0 | 146655 | 2.7742 | |
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| 3.1774 | 10.0 | 162950 | 2.7833 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.15.2 |
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