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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-small |
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tags: |
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- base_model:adapter:google/flan-t5-small |
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- lora |
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- transformers |
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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 [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4509 |
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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: 5e-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: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 7.8302 | 1.0 | 261 | 7.9282 | |
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| 4.6754 | 2.0 | 522 | 4.7825 | |
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| 2.2132 | 3.0 | 783 | 2.7961 | |
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| 0.7958 | 4.0 | 1044 | 1.0468 | |
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| 0.8819 | 5.0 | 1305 | 0.5291 | |
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| 0.3865 | 6.0 | 1566 | 0.4509 | |
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### Framework versions |
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- PEFT 0.17.1 |
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- Transformers 4.55.4 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
