update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- sciq
+metrics:
+- accuracy
+model-index:
+- name: longformer_sciq
+  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. -->
+
+# longformer_sciq
+
+This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the sciq dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1479
+- Accuracy: 0.932
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 25
+- total_train_batch_size: 50
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 233  | 0.1650          | 0.934    |
+| No log        | 2.0   | 466  | 0.1479          | 0.932    |
+
+
+### Framework versions
+
+- Transformers 4.21.3
+- Pytorch 1.12.1
+- Datasets 2.5.1
+- Tokenizers 0.11.0