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t5-large-v2
ShokSmile/t5-large-v2
t5-large-v2 is a machine learning model from ShokSmile. 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
- Mar 31, 2024
- Updated
- Mar 31, 2024
- SHA
- ce3bf13a
Base models
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-large-v2
This model is a fine-tuned version of google-t5/t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7305
- Rouge1: 28.8944
- Rouge2: 10.3653
- Rougel: 20.1830
- Rougelsum: 20.1839
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: 4e-05
- train_batch_size: 48
- eval_batch_size: 64
- seed: 7
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.0607 | 0.45 | 200 | 1.7285 | 29.5191 | 10.7426 | 20.4093 | 20.4053 |
| 1.925 | 0.9 | 400 | 1.7305 | 28.8944 | 10.3653 | 20.1830 | 20.1839 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Mar 31, 2024
- Updated
- Mar 31, 2024