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model.pth
USRNMISCL/model.pth
model.pth is a machine learning model from USRNMISCL. 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
- Oct 17, 2023
- Updated
- Oct 17, 2023
- SHA
- c5d05697
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. -->
model.pth
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3288
- Bleu: 32.5195
- Gen Len: 15.495
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.8396 | 1.0 | 1813 | 1.5050 | 27.2908 | 15.573 |
| 1.6604 | 2.0 | 3626 | 1.4070 | 30.2936 | 15.532 |
| 1.6017 | 3.0 | 5439 | 1.3574 | 31.9889 | 15.502 |
| 1.5473 | 4.0 | 7252 | 1.3368 | 32.426 | 15.507 |
| 1.5354 | 5.0 | 9065 | 1.3288 | 32.5195 | 15.495 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Oct 17, 2023
- Updated
- Oct 17, 2023