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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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model-index: |
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- name: question_extractor |
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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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# question_extractor |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0926 |
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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: 32 |
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- eval_batch_size: 32 |
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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: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 0.7133 | 0.0973 | 500 | 0.2155 | |
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| 0.1448 | 0.1945 | 1000 | 0.1211 | |
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| 0.1325 | 0.2918 | 1500 | 0.1143 | |
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| 0.1338 | 0.3890 | 2000 | 0.1098 | |
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| 0.1256 | 0.4863 | 2500 | 0.1073 | |
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| 0.1259 | 0.5835 | 3000 | 0.1051 | |
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| 0.1238 | 0.6808 | 3500 | 0.1034 | |
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| 0.1188 | 0.7781 | 4000 | 0.1025 | |
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| 0.1157 | 0.8753 | 4500 | 0.1007 | |
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| 0.1187 | 0.9726 | 5000 | 0.0998 | |
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| 0.1135 | 1.0698 | 5500 | 0.0990 | |
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| 0.1114 | 1.1671 | 6000 | 0.0985 | |
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| 0.1141 | 1.2643 | 6500 | 0.0973 | |
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| 0.1106 | 1.3616 | 7000 | 0.0969 | |
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| 0.1119 | 1.4589 | 7500 | 0.0962 | |
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| 0.1126 | 1.5561 | 8000 | 0.0961 | |
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| 0.1076 | 1.6534 | 8500 | 0.0955 | |
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| 0.1113 | 1.7506 | 9000 | 0.0951 | |
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| 0.1097 | 1.8479 | 9500 | 0.0947 | |
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| 0.1098 | 1.9451 | 10000 | 0.0943 | |
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| 0.1082 | 2.0424 | 10500 | 0.0941 | |
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| 0.1079 | 2.1397 | 11000 | 0.0939 | |
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| 0.1056 | 2.2369 | 11500 | 0.0938 | |
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| 0.1064 | 2.3342 | 12000 | 0.0936 | |
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| 0.1053 | 2.4314 | 12500 | 0.0933 | |
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| 0.1085 | 2.5287 | 13000 | 0.0931 | |
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| 0.1062 | 2.6259 | 13500 | 0.0931 | |
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| 0.1094 | 2.7232 | 14000 | 0.0929 | |
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| 0.1081 | 2.8205 | 14500 | 0.0930 | |
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| 0.1051 | 2.9177 | 15000 | 0.0930 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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