test_electra_small

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: test_electra_small
+  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. -->
+
+# test_electra_small
+
+This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6214
+- Accuracy: 0.69
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6806        | 1.0   | 13   | 0.6456          | 0.69     |
+| 0.6503        | 2.0   | 26   | 0.6261          | 0.69     |
+| 0.634         | 3.0   | 39   | 0.6214          | 0.69     |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.1+cpu
+- Datasets 2.17.0
+- Tokenizers 0.15.2

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