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flan-t5-small-sample
prassu10/flan-t5-small-sample
flan-t5-small-sample is a machine learning model from prassu10. 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 24, 2023
- Updated
- Dec 24, 2023
- SHA
- b6f457a9
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-small-sample
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2767
- Rouge1: 44.1999
- Rouge2: 34.9821
- Rougel: 42.5428
- Rougelsum: 42.0168
- 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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 22 | 2.1908 | 38.4462 | 16.3179 | 32.7098 | 36.1665 | 19.0 |
| No log | 2.0 | 44 | 1.6382 | 44.0894 | 34.8011 | 42.6727 | 42.3831 | 19.0 |
| No log | 3.0 | 66 | 1.4048 | 44.1218 | 34.8312 | 42.6947 | 42.4035 | 19.0 |
| No log | 4.0 | 88 | 1.2996 | 44.1999 | 34.9821 | 42.5428 | 42.0168 | 19.0 |
| No log | 5.0 | 110 | 1.2767 | 44.1999 | 34.9821 | 42.5428 | 42.0168 | 19.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 24, 2023
- Updated
- Dec 24, 2023