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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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- cnn_dailymail |
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model-index: |
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- name: t5-base-summarization |
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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-base-summarization |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the cnn_dailymail 3.0.0 dataset. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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This is a work in progress. Please don't use these weights. :) |
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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: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: IPU |
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- gradient_accumulation_steps: 256 |
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- total_train_batch_size: 512 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.15 |
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- num_epochs: 5.0 |
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- training precision: Mixed Precision |
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### Training results |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cpu |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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