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--- |
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license: apache-2.0 |
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base_model: matthew-mcc/google_summarization |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: google_summarization |
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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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# google_summarization |
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This model is a fine-tuned version of [matthew-mcc/google_summarization](https://huggingface.co/matthew-mcc/google_summarization) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6378 |
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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: 8 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.7453 | 1.0 | 1500 | 1.6085 | |
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| 1.5817 | 2.0 | 3000 | 1.5919 | |
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| 1.4864 | 3.0 | 4500 | 1.5984 | |
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| 1.3933 | 4.0 | 6000 | 1.6007 | |
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| 1.3403 | 5.0 | 7500 | 1.6159 | |
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| 1.2759 | 6.0 | 9000 | 1.6277 | |
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| 1.2191 | 7.0 | 10500 | 1.6324 | |
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| 1.208 | 8.0 | 12000 | 1.6378 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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