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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- race |
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metrics: |
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- accuracy |
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model-index: |
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- name: t5_large_race_cosmos_qa |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# t5_large_race_cosmos_qa |
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the race dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4382 |
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- Accuracy: 0.8023 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:-----:|:--------:|:---------------:| |
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| 0.3513 | 1.0 | 10983 | 0.7714 | 0.3165 | |
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| 0.2109 | 2.0 | 21966 | 0.7986 | 0.3329 | |
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| 0.0929 | 3.0 | 32949 | 0.4382 | 0.8023 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.9.0 |
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- Datasets 1.14.0 |
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- Tokenizers 0.10.3 |
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