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flan-t5-sentence-generator
EngLip/flan-t5-sentence-generator
flan-t5-sentence-generator is a machine learning model from EngLip. 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 31, 2023
- Updated
- Nov 25, 2023
- SHA
- 3af2faaa
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. -->
flan-t5-sentence-generator
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: 0.3271
- Rouge1: 92.6712
- Rouge2: 82.7566
- Rougel: 92.6246
- Rougelsum: 92.5733
- Gen Len: 12.6809
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 | 38 | 0.4665 | 87.5888 | 72.8489 | 87.0237 | 87.1042 | 11.5745 |
| No log | 2.0 | 76 | 0.3577 | 90.7662 | 79.8453 | 90.443 | 90.4784 | 12.2340 |
| No log | 3.0 | 114 | 0.3342 | 92.0014 | 81.8411 | 91.999 | 91.9489 | 12.4468 |
| No log | 4.0 | 152 | 0.3343 | 92.3868 | 81.5074 | 92.2937 | 92.2943 | 12.5319 |
| No log | 5.0 | 190 | 0.3517 | 92.7314 | 83.1921 | 92.7259 | 92.6681 | 12.7660 |
| No log | 6.0 | 228 | 0.3271 | 92.6712 | 82.7566 | 92.6246 | 92.5733 | 12.6809 |
| No log | 7.0 | 266 | 0.3285 | 92.7106 | 82.4425 | 92.7382 | 92.6212 | 12.6809 |
| No log | 8.0 | 304 | 0.3379 | 92.9469 | 83.0373 | 92.9539 | 92.8683 | 12.6596 |
| No log | 9.0 | 342 | 0.3318 | 93.217 | 83.9024 | 93.1868 | 93.1101 | 12.7234 |
| No log | 10.0 | 380 | 0.3336 | 93.0582 | 83.3947 | 93.053 | 92.9652 | 12.7021 |
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
- Oct 31, 2023
- Updated
- Nov 25, 2023