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podcast_summarizer
Wick2025/podcast_summarizer
podcast_summarizer is a machine learning model from Wick2025. 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 7, 2024
- Updated
- Dec 7, 2024
- SHA
- d3ef63e6
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. -->
podcast_summarizer
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1084
- Rouge1: 0.1735
- Rouge2: 0.0673
- Rougel: 0.1411
- Rougelsum: 0.1413
- Gen Len: 18.9721
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 179 | 2.2171 | 0.1569 | 0.0555 | 0.1271 | 0.1276 | 18.9721 |
| No log | 2.0 | 358 | 2.1460 | 0.1653 | 0.0612 | 0.1346 | 0.1348 | 18.9721 |
| 2.3662 | 3.0 | 537 | 2.1163 | 0.1723 | 0.066 | 0.1398 | 0.1398 | 18.9721 |
| 2.3662 | 4.0 | 716 | 2.1084 | 0.1735 | 0.0673 | 0.1411 | 0.1413 | 18.9721 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 7, 2024
- Updated
- Dec 7, 2024