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t5-small-finetuned-xsum-2
Pranavsenthilvel/t5-small-finetuned-xsum-2
t5-small-finetuned-xsum-2 is a machine learning model from Pranavsenthilvel. 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
- Dec 5, 2023
- Updated
- Dec 5, 2023
- SHA
- 6e2bf385
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-small-finetuned-xsum-2
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0545
- Rouge1: 97.619
- Rouge2: 0.0
- Rougel: 97.619
- Rougelsum: 97.619
- Gen Len: 2.0
Notes
- Try the following:
- What is your name?
- Name:
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 47 | 2.3226 | 41.1659 | 0.0 | 41.5533 | 40.7833 | 3.7857 |
| No log | 2.0 | 94 | 0.9654 | 71.4286 | 0.0 | 70.6349 | 70.6349 | 2.0476 |
| No log | 3.0 | 141 | 0.5835 | 80.9524 | 0.0 | 80.9524 | 80.9524 | 2.0 |
| No log | 4.0 | 188 | 0.4075 | 80.9524 | 0.0 | 80.9524 | 80.9524 | 2.0238 |
| No log | 5.0 | 235 | 0.2701 | 83.3333 | 0.0 | 83.3333 | 83.3333 | 2.0 |
| No log | 6.0 | 282 | 0.1677 | 88.0952 | 0.0 | 88.0952 | 88.0952 | 1.9762 |
| No log | 7.0 | 329 | 0.1074 | 92.8571 | 0.0 | 92.8571 | 92.8571 | 2.0 |
| No log | 8.0 | 376 | 0.0745 | 97.619 | 0.0 | 97.619 | 97.619 | 2.0 |
| No log | 9.0 | 423 | 0.0583 | 97.619 | 0.0 | 97.619 | 97.619 | 2.0 |
| No log | 10.0 | 470 | 0.0545 | 97.619 | 0.0 | 97.619 | 97.619 | 2.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 5, 2023
- Updated
- Dec 5, 2023