Downloads · 30 days
9
2% of all-time downloads
t5-small-finetuned-amazon-en
apatidar0/t5-small-finetuned-amazon-en
t5-small-finetuned-amazon-en is a summarization model from apatidar0. 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. --
All-time downloads
454
Public
Repo size
26.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin242 MB · 99%
At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Feb 5, 2023
- Updated
- Feb 5, 2023
- SHA
- 2026decb
Try a prompt
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. -->
t5-small-finetuned-amazon-en
This model is a fine-tuned version of t5-small on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- eval_loss: 5.1622
- eval_rouge1: 14.7056
- eval_rouge2: 6.5373
- eval_rougeL: 13.8753
- eval_rougeLsum: 13.9924
- eval_runtime: 3.8484
- eval_samples_per_second: 35.08
- eval_steps_per_second: 4.417
- 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Summarization
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Feb 5, 2023
- Updated
- Feb 5, 2023