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flan_t5_small_finetuned
anirbankgec/flan_t5_small_finetuned
flan_t5_small_finetuned is a machine learning model from anirbankgec. 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
- Jul 13, 2023
- Updated
- Jul 13, 2023
- SHA
- bc250139
Datasets
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_finetuned
This model is a fine-tuned version of google/flan-t5-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.3412
- Rouge1: 44.9038
- Rouge2: 22.7667
- Rougel: 38.8789
- Rougelsum: 41.7196
- Gen Len: 16.92
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 | 7 | 1.4537 | 43.8958 | 21.4426 | 37.7876 | 41.0621 | 17.4 |
| No log | 2.0 | 14 | 1.4025 | 44.291 | 21.7752 | 37.6394 | 41.0092 | 17.1 |
| No log | 3.0 | 21 | 1.3687 | 44.5803 | 22.5489 | 38.5959 | 41.6202 | 17.0 |
| No log | 4.0 | 28 | 1.3487 | 44.6139 | 22.5884 | 38.6786 | 41.5311 | 16.94 |
| No log | 5.0 | 35 | 1.3412 | 44.9038 | 22.7667 | 38.8789 | 41.7196 | 16.92 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.13.1+cpu
- Datasets 2.13.1
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 13, 2023
- Updated
- Jul 13, 2023