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t5-small-ia3-finetune-tweetsumm
samuellimabraz/t5-small-ia3-finetune-tweetsumm
t5-small-ia3-finetune-tweetsumm is a machine learning model from samuellimabraz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 27, 2024
- Updated
- Aug 27, 2024
- SHA
- 501dd7cb
Base models
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. -->
ia3-finetune-t5-small-tweetsumm-1724776109
This model is a fine-tuned version of google-t5/t5-small on the Andyrasika/TweetSumm-tuned dataset. It achieves the following results on the evaluation set:
- Loss: 2.4772
- Rouge1: 0.3032
- Rouge2: 0.1016
- Rougel: 0.2431
- Rougelsum: 0.2761
- Gen Len: 49.7364
- F1: 0.8624
- Precision: 0.8604
- Recall: 0.8646
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: 0.001
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3.074 | 1.0 | 110 | 2.7180 | 0.2578 | 0.07 | 0.2025 | 0.2348 | 49.7455 | 0.8554 | 0.8499 | 0.8613 |
| 2.8218 | 2.0 | 220 | 2.5242 | 0.2895 | 0.0902 | 0.2315 | 0.2639 | 49.7 | 0.8603 | 0.8578 | 0.863 |
| 2.5886 | 3.0 | 330 | 2.4772 | 0.3032 | 0.1016 | 0.2431 | 0.2761 | 49.7364 | 0.8624 | 0.8604 | 0.8646 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Aug 27, 2024
- Updated
- Aug 27, 2024