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--- |
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license: apache-2.0 |
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base_model: tilyupo/t5-xl-trivia-gpu-c2a |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: t5-xl-trivia-c2a |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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<pre>{'eval_loss': 0.5528534650802612, |
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'eval_bleu': 47.776575019398344, |
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'eval_rouge1': 56.48, |
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'eval_rouge2': 26.92, |
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'eval_rougeL': 56.47, |
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'eval_rougeLsum': 56.5, |
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'eval_exact': 0.5205519385871149, |
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'eval_runtime': 640.6974, |
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'eval_samples_per_second': 16.062, |
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'eval_steps_per_second': 2.009}</pre> |
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# t5-xl-trivia-c2a |
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This model is a fine-tuned version of [tilyupo/t5-xl-trivia-gpu-c2a](https://huggingface.co/tilyupo/t5-xl-trivia-gpu-c2a) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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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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- optimizer: None |
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- training_precision: float32 |
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### Training results |
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### Framework versions |
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- Transformers 4.31.0 |
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- TensorFlow 2.13.0 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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