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t5-base-finetuned-aeslc
sohamchougule/t5-base-finetuned-aeslc
t5-base-finetuned-aeslc is a machine learning model from sohamchougule. 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
- Apr 9, 2023
- Updated
- Apr 9, 2023
- SHA
- d7202844
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-base-finetuned-aeslc
This model is a fine-tuned version of t5-base on the aeslc dataset. It achieves the following results on the evaluation set:
- Loss: 2.7106
- Rouge1: 32.7432
- Rouge2: 16.6436
- Rougel: 32.2648
- Rougelsum: 32.225
- Gen Len: 5.4143
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.9888 | 1.0 | 7218 | 2.7106 | 32.7432 | 16.6436 | 32.2648 | 32.225 | 5.4143 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 9, 2023
- Updated
- Apr 9, 2023