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--- |
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license: apache-2.0 |
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base_model: t5-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: message_extraction |
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results: [] |
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--- |
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This model extracts the message from the text |
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# message_extraction |
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0185 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3131 | 1.0 | 191 | 0.3448 | |
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| 0.2332 | 2.0 | 382 | 0.1029 | |
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| 0.127 | 3.0 | 573 | 0.0606 | |
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| 0.0685 | 4.0 | 764 | 0.0423 | |
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| 0.052 | 5.0 | 955 | 0.0338 | |
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| 0.0002 | 6.0 | 1146 | 0.0275 | |
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| 0.0468 | 7.0 | 1337 | 0.0238 | |
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| 0.02 | 8.0 | 1528 | 0.0207 | |
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| 0.0567 | 9.0 | 1719 | 0.0189 | |
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| 0.0044 | 10.0 | 1910 | 0.0185 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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