End of training

README.md

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+---
+license: apache-2.0
+base_model: google/electra-small-discriminator
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: electra-case-16
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# electra-case-16
+
+This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3361
+- Accuracy: 0.8733
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 224
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 16
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 44   | 0.7189          | 0.8      |
+| No log        | 2.0   | 88   | 0.5694          | 0.8467   |
+| No log        | 3.0   | 132  | 0.4746          | 0.8267   |
+| No log        | 4.0   | 176  | 0.4302          | 0.82     |
+| No log        | 5.0   | 220  | 0.3935          | 0.84     |
+| No log        | 6.0   | 264  | 0.3571          | 0.8467   |
+| No log        | 7.0   | 308  | 0.3834          | 0.8267   |
+| No log        | 8.0   | 352  | 0.3352          | 0.8733   |
+| No log        | 9.0   | 396  | 0.3247          | 0.8733   |
+| No log        | 10.0  | 440  | 0.3452          | 0.8733   |
+| No log        | 11.0  | 484  | 0.3792          | 0.8467   |
+| 0.3615        | 12.0  | 528  | 0.3583          | 0.8667   |
+| 0.3615        | 13.0  | 572  | 0.3551          | 0.86     |
+| 0.3615        | 14.0  | 616  | 0.3732          | 0.8533   |
+| 0.3615        | 15.0  | 660  | 0.3356          | 0.8733   |
+| 0.3615        | 16.0  | 704  | 0.3361          | 0.8733   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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