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t5-small-finetuned-xsum
D1st3f/t5-small-finetuned-xsum
t5-small-finetuned-xsum is a machine learning model from D1st3f. 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
- Mar 4, 2024
- Updated
- Mar 4, 2024
- SHA
- 3a39cd0e
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
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3008
- Rouge1: 12.6103
- Rouge2: 9.5926
- Rougel: 12.6021
- Rougelsum: 12.6283
- Gen Len: 19.0
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 250 | 0.6205 | 5.6859 | 2.5527 | 5.1657 | 5.2341 | 18.991 |
| 1.5338 | 2.0 | 500 | 0.4386 | 9.4172 | 5.941 | 9.0685 | 9.1082 | 19.0 |
| 1.5338 | 3.0 | 750 | 0.3853 | 11.8647 | 8.8342 | 11.8639 | 11.8666 | 19.0 |
| 0.5244 | 4.0 | 1000 | 0.3544 | 11.9705 | 8.9387 | 11.9542 | 11.9761 | 19.0 |
| 0.5244 | 5.0 | 1250 | 0.3351 | 12.241 | 9.2923 | 12.2495 | 12.269 | 19.0 |
| 0.4437 | 6.0 | 1500 | 0.3227 | 12.4208 | 9.4373 | 12.4165 | 12.46 | 19.0 |
| 0.4437 | 7.0 | 1750 | 0.3115 | 12.3875 | 9.363 | 12.3873 | 12.4121 | 19.0 |
| 0.4122 | 8.0 | 2000 | 0.3055 | 12.5748 | 9.5329 | 12.5643 | 12.5861 | 19.0 |
| 0.4122 | 9.0 | 2250 | 0.3022 | 12.656 | 9.6538 | 12.6477 | 12.6745 | 19.0 |
| 0.397 | 10.0 | 2500 | 0.3008 | 12.6103 | 9.5926 | 12.6021 | 12.6283 | 19.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 4, 2024
- Updated
- Mar 4, 2024