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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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metrics: |
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- rouge |
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model-index: |
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- name: flan-t5-xl-deepspeed-zero3-summary |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: cnn_dailymail |
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type: cnn_dailymail |
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config: 3.0.0 |
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split: test |
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args: 3.0.0 |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 42.6105 |
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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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# flan-t5-xl-deepspeed-zero3-summary |
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the cnn_dailymail dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4054 |
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- Rouge1: 42.6105 |
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- Rouge2: 20.2181 |
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- Rougel: 29.7866 |
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- Rougelsum: 39.4431 |
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- Gen Len: 98.0013 |
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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: 0.0001 |
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- train_batch_size: 8 |
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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: 10 |
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- total_train_batch_size: 80 |
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- total_eval_batch_size: 80 |
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 1.6011 | 1.0 | 3589 | 1.4054 | 42.6105 | 20.2181 | 29.7866 | 39.4431 | 98.0013 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.12.0 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.3 |
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