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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: distil-electra-qa
+  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. -->
+
+# distil-electra-qa
+
+This model is a fine-tuned version of [lsanochkin/distilelectra-base](https://huggingface.co/lsanochkin/distilelectra-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6058
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.0323        | 1.0   | 1883 | 1.7828          |
+| 1.6154        | 2.0   | 3766 | 1.6530          |
+| 1.43          | 3.0   | 5649 | 1.6058          |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.11.0+cu102
+- Datasets 2.8.0
+- Tokenizers 0.13.2