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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: google/flan-t5-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: fine_tune |
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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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# fine_tune |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3085 |
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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: 0.001 |
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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: 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: 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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| 5.7293 | 1.0 | 30 | 4.6146 | |
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| 3.3709 | 2.0 | 60 | 2.0158 | |
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| 1.382 | 3.0 | 90 | 0.7932 | |
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| 0.8337 | 4.0 | 120 | 0.5675 | |
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| 0.6557 | 5.0 | 150 | 0.4715 | |
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| 0.5561 | 6.0 | 180 | 0.4106 | |
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| 0.5042 | 7.0 | 210 | 0.3627 | |
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| 0.4905 | 8.0 | 240 | 0.3346 | |
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| 0.4602 | 9.0 | 270 | 0.3145 | |
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| 0.39 | 10.0 | 300 | 0.3085 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
