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flan-t5-base-samsum
ishani340/flan-t5-base-samsum
flan-t5-base-samsum is a machine learning model from ishani340. 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
- Sep 11, 2023
- Updated
- Sep 11, 2023
- SHA
- 8381e34a
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-base-samsum
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4179
- Rouge1: 47.0205
- Rouge2: 22.1222
- Rougel: 39.632
- Rougelsum: 43.699
- Gen Len: 17.58
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 | 38 | 1.4191 | 47.4088 | 23.3573 | 40.3184 | 44.0528 | 17.18 |
| No log | 2.0 | 76 | 1.4179 | 47.0205 | 22.1222 | 39.632 | 43.699 | 17.58 |
| No log | 3.0 | 114 | 1.4206 | 47.5761 | 22.5403 | 39.8967 | 44.3589 | 17.46 |
| No log | 4.0 | 152 | 1.4283 | 47.2004 | 22.2872 | 39.3765 | 43.9613 | 17.58 |
| No log | 5.0 | 190 | 1.4301 | 47.2497 | 22.1798 | 39.6196 | 43.9584 | 17.61 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Sep 11, 2023
- Updated
- Sep 11, 2023