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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: t5-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Summarization_Continue |
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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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# Summarization_Continue |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0784 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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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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| 1.103 | 0.2229 | 500 | 1.0905 | |
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| 1.0955 | 0.4458 | 1000 | 1.0865 | |
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| 1.0835 | 0.6687 | 1500 | 1.0834 | |
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| 1.0841 | 0.8916 | 2000 | 1.0814 | |
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| 1.0803 | 1.1141 | 2500 | 1.0802 | |
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| 1.0812 | 1.3370 | 3000 | 1.0788 | |
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| 1.0816 | 1.5599 | 3500 | 1.0781 | |
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| 1.0827 | 1.7828 | 4000 | 1.0784 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.51.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.0 |
