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--- |
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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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- generated_from_trainer |
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datasets: |
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- squad_v2 |
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model-index: |
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- name: flan_t5_small_squadv2_lora |
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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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# flan_t5_small_squadv2_lora |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the squad_v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3268 |
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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: 12 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5656 | 0.13 | 100 | 0.3493 | |
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| 0.5393 | 0.27 | 200 | 0.3458 | |
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| 0.5403 | 0.4 | 300 | 0.3352 | |
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| 0.5289 | 0.53 | 400 | 0.3476 | |
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| 0.5111 | 0.67 | 500 | 0.3273 | |
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| 0.5146 | 0.8 | 600 | 0.3280 | |
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| 0.4717 | 0.93 | 700 | 0.3268 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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