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dialogue-sum-training
majorSeaweed/dialogue-sum-training
dialogue-sum-training is a machine learning model from majorSeaweed. 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
- Apr 5, 2025
- Updated
- Apr 5, 2025
- SHA
- a857ef1d
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. -->
dialogue-sum-training
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: 32.5540
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 35.635 | 0.2567 | 400 | 37.4640 |
| 31.38 | 0.5135 | 800 | 33.1360 |
| 30.8 | 0.7702 | 1200 | 32.6240 |
| 30.79 | 1.0270 | 1600 | 32.5660 |
| 30.7125 | 1.2837 | 2000 | 32.5620 |
| 30.8025 | 1.5404 | 2400 | 32.5600 |
| 30.92 | 1.7972 | 2800 | 32.5540 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 5, 2025
- Updated
- Apr 5, 2025