| --- |
| license: apache-2.0 |
| base_model: google/flan-t5-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: flan-t5-base-indian-constitution |
| 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. --> |
|
|
| # flan-t5-base-indian-constitution |
|
|
| This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0008 |
| - Rouge1: 29.7093 |
| - Rouge2: 28.4336 |
| - Rougel: 29.6229 |
| - Rougelsum: 29.5617 |
| - Gen Len: 18.9651 |
|
|
| ## Model description |
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|
| More information needed |
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| ## Intended uses & limitations |
|
|
| More information needed |
|
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| ## Training and evaluation data |
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|
| More information needed |
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|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | No log | 1.0 | 344 | 0.0009 | 29.7093 | 28.4336 | 29.6229 | 29.5617 | 18.9651 | |
| | 0.0021 | 2.0 | 688 | 0.0008 | 29.7093 | 28.4336 | 29.6229 | 29.5617 | 18.9651 | |
| | 0.0013 | 3.0 | 1032 | 0.0008 | 29.7093 | 28.4336 | 29.6229 | 29.5617 | 18.9651 | |
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| ### Framework versions |
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|
| - Transformers 4.33.1 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
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