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t5-small-finetuned-p7_V2
laurenmit/t5-small-finetuned-p7_V2
t5-small-finetuned-p7_V2 is a machine learning model from laurenmit. 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 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
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 24, 2023
- Updated
- May 24, 2023
- SHA
- b90fbdc5
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-p7_V2
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7986
- Rouge1: 50.0794
- Rouge2: 39.7328
- Rougel: 47.7419
- Rougelsum: 48.4881
- Gen Len: 18.4441
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 57 | 0.8331 | 48.5922 | 37.7982 | 46.1367 | 46.9239 | 18.4671 |
| No log | 2.0 | 114 | 0.7986 | 50.0794 | 39.7328 | 47.7419 | 48.4881 | 18.4441 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 24, 2023
- Updated
- May 24, 2023