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text-to-text
mbiskho/text-to-text
text-to-text is a machine learning model from mbiskho. 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
- Nov 18, 2023
- Updated
- Dec 3, 2023
- SHA
- 04dc6d20
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. -->
text-to-text
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.1157
- Rouge1: 39.2425
- Rouge2: 15.3791
- Rougel: 32.2803
- Rougelsum: 35.7848
- Gen Len: 17.5447
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: 0.001
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.4195 | 1.0 | 287 | 2.0451 | 38.2732 | 15.4594 | 32.1587 | 34.1054 | 14.9350 |
| 1.5202 | 2.0 | 574 | 2.1663 | 37.2747 | 14.3187 | 30.7608 | 33.1298 | 15.6179 |
| 0.8321 | 3.0 | 861 | 2.3894 | 39.7659 | 15.9607 | 32.553 | 35.5703 | 15.9837 |
| 0.8915 | 4.0 | 1148 | 2.7800 | 37.5833 | 14.0917 | 29.9648 | 33.7803 | 17.4472 |
| 0.4739 | 5.0 | 1435 | 2.9443 | 38.6304 | 14.5346 | 31.2649 | 34.7004 | 16.6260 |
| 0.4026 | 6.0 | 1722 | 3.4132 | 38.5667 | 13.5102 | 31.2463 | 34.3462 | 17.6016 |
| 0.0301 | 7.0 | 2009 | 3.9872 | 38.4039 | 14.3773 | 30.8458 | 34.5474 | 17.4959 |
| 0.0504 | 8.0 | 2296 | 4.3657 | 38.2491 | 13.9452 | 30.3137 | 33.6681 | 17.1870 |
| 0.0017 | 9.0 | 2583 | 5.0423 | 39.4347 | 14.464 | 31.561 | 35.0523 | 17.1382 |
| 0.0038 | 10.0 | 2870 | 5.1157 | 39.2425 | 15.3791 | 32.2803 | 35.7848 | 17.5447 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0a0+32f93b1
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Nov 18, 2023
- Updated
- Dec 3, 2023