update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- race
+metrics:
+- accuracy
+model-index:
+- name: t5_large_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_large_race_cosmos_qa
+
+This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the race dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4382
+- Accuracy: 0.8023
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- 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  | Accuracy | Validation Loss |
+|:-------------:|:-----:|:-----:|:--------:|:---------------:|
+| 0.3513        | 1.0   | 10983 | 0.7714   | 0.3165          |
+| 0.2109        | 2.0   | 21966 | 0.7986   | 0.3329          |
+| 0.0929        | 3.0   | 32949 | 0.4382   | 0.8023          |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.9.0
+- Datasets 1.14.0
+- Tokenizers 0.10.3