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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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model-index: |
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- name: emozilla/flan-t5-xxl-sat-reading |
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results: [] |
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datasets: |
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- emozilla/sat-reading |
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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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# emozilla/flan-t5-xxl-sat-reading |
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This model is a fine-tuned version of [google/flan-t5-xxl](https://huggingface.co/google/flan-t5-xxl) on the [emozilla/sat-reading](https://huggingface.co/datasets/emozilla/sat-reading) dataset. |
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## Model description |
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This model was trained on the Reading section of several SAT Practice Tests. |
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It scores better than the original pre-trained model while maintaining zero-shot task performance. |
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For more information, see the blog post [Language Models vs. The SAT Reading Test](https://jeffq.com/blog/language-models-vs-the-sat-reading-test). |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 8 |
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- total_eval_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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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 38 | 0.2243 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
