update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- cosmos_qa
+metrics:
+- accuracy
+model-index:
+- name: t5_base_race_cosmos_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. -->
+
+# t5_base_race_cosmos_qa
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the cosmos_qa dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5038
+- Accuracy: 0.7176
+
+## 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: 0.0001
+- train_batch_size: 2
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4408        | 1.0   | 3157 | 0.4825          | 0.6315   |
+| 0.3166        | 2.0   | 6314 | 0.4108          | 0.7109   |
+| 0.2           | 3.0   | 9471 | 0.5038          | 0.7176   |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.9.1
+- Datasets 1.12.1
+- Tokenizers 0.10.3