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_small_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_small_cosmos_qa
+
+This model is a fine-tuned version of [mamlong34/t5_small_race_mutlirc](https://huggingface.co/mamlong34/t5_small_race_mutlirc) on the cosmos_qa dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5614
+- Accuracy: 0.6067
+
+## 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: 8
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4811        | 1.0   | 3158 | 0.5445          | 0.5548   |
+| 0.4428        | 2.0   | 6316 | 0.5302          | 0.5836   |
+| 0.3805        | 3.0   | 9474 | 0.5614          | 0.6067   |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.9.1
+- Datasets 1.12.1
+- Tokenizers 0.10.3