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README.md
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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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- jkorsvik/cnn_daily_mail_nor_final
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model-index:
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- name: t5-base-cnndaily
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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-cnndaily
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This model is a fine-tuned version of [north/t5_base_NCC_lm](https://huggingface.co/north/t5_base_NCC_lm) on the jkorsvik/cnn_daily_mail_nor_final dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 2.5736
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- eval_rouge1: 11.7206
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- eval_rouge2: 1.695
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- eval_rougeL: 8.9311
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- eval_rougeLsum: 10.6052
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- eval_gen_len: 54.8944
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- eval_runtime: 175.8203
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- eval_samples_per_second: 20.197
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- eval_steps_per_second: 0.631
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- step: 0
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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- total_eval_batch_size: 32
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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: 20.0
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 1.13.1
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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