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--- |
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license: apache-2.0 |
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base_model: amr8ta/electra-case-16 |
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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: electra-case-16 |
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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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# electra-case-16 |
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This model is a fine-tuned version of [amr8ta/electra-case-16](https://huggingface.co/amr8ta/electra-case-16) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3250 |
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- Accuracy: 0.9 |
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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: 1.5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 224 |
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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: 16 |
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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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| No log | 1.0 | 44 | 0.3311 | 0.8733 | |
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| No log | 2.0 | 88 | 0.3448 | 0.8667 | |
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| No log | 3.0 | 132 | 0.3250 | 0.9 | |
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| No log | 4.0 | 176 | 0.3456 | 0.9 | |
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| No log | 5.0 | 220 | 0.3695 | 0.9067 | |
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| No log | 6.0 | 264 | 0.4012 | 0.8933 | |
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| No log | 7.0 | 308 | 0.3983 | 0.8933 | |
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| No log | 8.0 | 352 | 0.4132 | 0.8933 | |
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| No log | 9.0 | 396 | 0.4336 | 0.9067 | |
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| No log | 10.0 | 440 | 0.4263 | 0.8933 | |
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| No log | 11.0 | 484 | 0.4124 | 0.9 | |
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| 0.0318 | 12.0 | 528 | 0.4278 | 0.8933 | |
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| 0.0318 | 13.0 | 572 | 0.4593 | 0.8933 | |
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| 0.0318 | 14.0 | 616 | 0.4477 | 0.8933 | |
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| 0.0318 | 15.0 | 660 | 0.4505 | 0.8933 | |
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| 0.0318 | 16.0 | 704 | 0.4525 | 0.8933 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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