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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: google/flan-t5-base |
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model-index: |
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- name: LoRA-FlanT5-base |
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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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# LoRA-FlanT5-base |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0965 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 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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| 0.6327 | 0.32 | 250 | 0.1069 | |
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| 0.1287 | 0.64 | 500 | 0.1001 | |
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| 0.1231 | 0.96 | 750 | 0.0984 | |
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| 0.121 | 1.28 | 1000 | 0.0975 | |
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| 0.1198 | 1.61 | 1250 | 0.0970 | |
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| 0.1192 | 1.93 | 1500 | 0.0968 | |
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| 0.1198 | 2.25 | 1750 | 0.0966 | |
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| 0.1193 | 2.57 | 2000 | 0.0966 | |
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| 0.1187 | 2.89 | 2250 | 0.0965 | |
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| 0.1191 | 3.21 | 2500 | 0.0965 | |
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| 0.1196 | 3.53 | 2750 | 0.0965 | |
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| 0.1183 | 3.85 | 3000 | 0.0965 | |
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| 0.119 | 4.17 | 3250 | 0.0965 | |
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| 0.1177 | 4.49 | 3500 | 0.0964 | |
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| 0.1198 | 4.82 | 3750 | 0.0965 | |
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| 0.1182 | 5.14 | 4000 | 0.0965 | |
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| 0.1183 | 5.46 | 4250 | 0.0965 | |
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| 0.119 | 5.78 | 4500 | 0.0965 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.1 |
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- Tokenizers 0.15.2 |
