| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google-t5/t5-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: meeting_summarizer_model |
| results: [] |
| --- |
| |
| <!-- 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](https://huggingface.co/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 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.47.1 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
|
|
