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mt5-small-finetuned-beer-en
EJaalborg2022/mt5-small-finetuned-beer-en
mt5-small-finetuned-beer-en is a summarization model from EJaalborg2022. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Mar 10, 2023
- Updated
- Mar 10, 2023
- SHA
- 09e3454f
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mt5-small-finetuned-beer-en
This model is a fine-tuned version of google/mt5-small on the beer_reviews_label_drift_neg dataset. It achieves the following results on the evaluation set:
- eval_loss: 16.1352
- eval_rouge1: 3.6749
- eval_rouge2: 0.0
- eval_rougeL: 3.6749
- eval_rougeLsum: 3.6232
- eval_runtime: 60.7305
- eval_samples_per_second: 1.136
- eval_steps_per_second: 0.296
- step: 0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.01
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Mar 10, 2023
- Updated
- Mar 10, 2023