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--- |
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license: apache-2.0 |
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base_model: google-t5/t5-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: Text_Summarization_model_12042024 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Text_Summarization_model_12042024 |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5629 |
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- Rouge1: 0.2385 |
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- Rouge2: 0.19 |
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- Rougel: 0.2296 |
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- Rougelsum: 0.2296 |
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- Gen Len: 19.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 1.8769 | 1.0 | 4691 | 1.6645 | 0.2336 | 0.1826 | 0.2236 | 0.2236 | 19.0 | |
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| 1.826 | 2.0 | 9382 | 1.5972 | 0.2367 | 0.1869 | 0.2273 | 0.2273 | 19.0 | |
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| 1.7617 | 3.0 | 14073 | 1.5720 | 0.2384 | 0.1898 | 0.2294 | 0.2294 | 19.0 | |
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| 1.7664 | 4.0 | 18764 | 1.5629 | 0.2385 | 0.19 | 0.2296 | 0.2296 | 19.0 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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