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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: MohamedAshraf701/custom-T5 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Testing-t5 |
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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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# Testing-t5 |
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This model is a fine-tuned version of [MohamedAshraf701/custom-T5](https://huggingface.co/MohamedAshraf701/custom-T5) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3965 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 282 | 0.5618 | |
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| 0.5827 | 2.0 | 564 | 0.5009 | |
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| 0.5827 | 3.0 | 846 | 0.4711 | |
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| 0.4765 | 4.0 | 1128 | 0.4537 | |
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| 0.4765 | 5.0 | 1410 | 0.4418 | |
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| 0.4466 | 6.0 | 1692 | 0.4337 | |
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| 0.4466 | 7.0 | 1974 | 0.4263 | |
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| 0.4229 | 8.0 | 2256 | 0.4197 | |
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| 0.4152 | 9.0 | 2538 | 0.4153 | |
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| 0.4152 | 10.0 | 2820 | 0.4105 | |
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| 0.3981 | 11.0 | 3102 | 0.4083 | |
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| 0.3981 | 12.0 | 3384 | 0.4053 | |
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| 0.3974 | 13.0 | 3666 | 0.4032 | |
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| 0.3974 | 14.0 | 3948 | 0.4008 | |
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| 0.3933 | 15.0 | 4230 | 0.3995 | |
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| 0.3885 | 16.0 | 4512 | 0.3988 | |
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| 0.3885 | 17.0 | 4794 | 0.3978 | |
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| 0.3814 | 18.0 | 5076 | 0.3972 | |
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| 0.3814 | 19.0 | 5358 | 0.3966 | |
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| 0.3855 | 20.0 | 5640 | 0.3965 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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