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meeting_summarizer_model
sumit7488/meeting_summarizer_model
meeting_summarizer_model is a machine learning model from sumit7488. 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
- Jan 22, 2025
- Updated
- Jan 22, 2025
- SHA
- 05b7b08e
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. -->
meeting_summarizer_model
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: 1.5064
- Rouge1: 0.3963
- Rouge2: 0.3304
- Rougel: 0.3861
- Rougelsum: 0.3867
- Gen Len: 19.9095
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: 1
- eval_batch_size: 1
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.1629 | 1.0 | 5169 | 1.8665 | 0.3882 | 0.3076 | 0.3709 | 0.3718 | 19.8167 |
| 1.9476 | 2.0 | 10338 | 1.7073 | 0.3888 | 0.3163 | 0.3753 | 0.3757 | 19.9072 |
| 1.8624 | 3.0 | 15507 | 1.6218 | 0.3918 | 0.323 | 0.3794 | 0.3801 | 19.8991 |
| 1.7311 | 4.0 | 20676 | 1.5701 | 0.3916 | 0.3243 | 0.3797 | 0.3805 | 19.9118 |
| 1.7555 | 5.0 | 25845 | 1.5450 | 0.3944 | 0.3288 | 0.3833 | 0.384 | 19.9026 |
| 1.697 | 6.0 | 31014 | 1.5216 | 0.3945 | 0.3283 | 0.3839 | 0.3847 | 19.9072 |
| 1.6965 | 7.0 | 36183 | 1.5090 | 0.3951 | 0.3293 | 0.3846 | 0.3853 | 19.9037 |
| 1.6344 | 8.0 | 41352 | 1.5064 | 0.3963 | 0.3304 | 0.3861 | 0.3867 | 19.9095 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 22, 2025
- Updated
- Jan 22, 2025