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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/t5-v1_1-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: QGC2 |
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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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# QGC2 |
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This model is a fine-tuned version of [google/t5-v1_1-large](https://huggingface.co/google/t5-v1_1-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5302 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAFACTOR and the args are: |
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No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 3.9372 | 0.0925 | 200 | 3.9831 | |
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| 6.6356 | 0.1850 | 400 | 5.5394 | |
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| 4.9934 | 0.2775 | 600 | 3.9748 | |
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| 1.2719 | 0.3700 | 800 | 2.3928 | |
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| 0.4698 | 0.4625 | 1000 | 2.5047 | |
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| 0.3714 | 0.5550 | 1200 | 2.5249 | |
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| 0.4314 | 0.6475 | 1400 | 2.4641 | |
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| 0.3454 | 0.7401 | 1600 | 2.4906 | |
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| 0.3313 | 0.8326 | 1800 | 2.5153 | |
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| 0.2904 | 0.9251 | 2000 | 2.5302 | |
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### Framework versions |
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- Transformers 4.50.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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