End of training
Browse files- README.md +65 -0
- model.safetensors +1 -1
README.md
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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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metrics:
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- accuracy
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model-index:
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- name: electra-distilled-sst
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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-distilled-sst
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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: 0.3772
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- Accuracy: 0.9174
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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: 4.854751380955516e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 33
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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: 9
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- mixed_precision_training: Native AMP
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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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| 0.3762 | 1.0 | 527 | 0.2865 | 0.9083 |
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| 0.2105 | 2.0 | 1054 | 0.3472 | 0.9048 |
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| 0.1566 | 3.0 | 1581 | 0.3098 | 0.9243 |
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| 0.1221 | 4.0 | 2108 | 0.3681 | 0.9174 |
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| 0.1029 | 5.0 | 2635 | 0.3772 | 0.9174 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.0
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 54221200
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version https://git-lfs.github.com/spec/v1
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size 54221200
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