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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: results |
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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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# results |
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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: 0.9987 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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| No log | 0.9825 | 28 | 1.2638 | |
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| No log | 2.0 | 57 | 1.1696 | |
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| No log | 2.9825 | 85 | 1.1032 | |
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| No log | 4.0 | 114 | 1.0675 | |
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| No log | 4.9825 | 142 | 1.0436 | |
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| No log | 6.0 | 171 | 1.0258 | |
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| No log | 6.9825 | 199 | 1.0137 | |
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| No log | 8.0 | 228 | 1.0049 | |
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| No log | 8.9825 | 256 | 1.0000 | |
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| No log | 9.8246 | 280 | 0.9987 | |
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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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