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--- |
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license: apache-2.0 |
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base_model: google/electra-small-discriminator |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: student_electra_small |
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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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# student_electra_small |
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This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6385 |
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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: 1022 |
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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_steps: 1000 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.2869 | 0.4 | 1200 | 0.9636 | |
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| 0.9176 | 0.81 | 2400 | 0.8391 | |
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| 0.7991 | 1.21 | 3600 | 0.7501 | |
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| 0.7191 | 1.62 | 4800 | 0.6928 | |
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| 0.6846 | 2.02 | 6000 | 0.6669 | |
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| 0.6356 | 2.43 | 7200 | 0.6525 | |
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| 0.6087 | 2.83 | 8400 | 0.6383 | |
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| 0.5962 | 3.24 | 9600 | 0.6397 | |
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| 0.5749 | 3.64 | 10800 | 0.6385 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.1.0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.2 |
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