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--- |
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license: apache-2.0 |
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base_model: badokorach/flan-t5-small-qa |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: flan-t5-small-qa-9 |
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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-qa-9 |
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This model is a fine-tuned version of [badokorach/flan-t5-small-qa](https://huggingface.co/badokorach/flan-t5-small-qa) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0989 |
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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: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 305 | 0.0747 | |
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| 0.061 | 2.0 | 610 | 0.0791 | |
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| 0.061 | 3.0 | 915 | 0.0798 | |
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| 0.052 | 4.0 | 1220 | 0.0845 | |
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| 0.0481 | 5.0 | 1525 | 0.0807 | |
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| 0.0481 | 6.0 | 1830 | 0.0837 | |
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| 0.0443 | 7.0 | 2135 | 0.0888 | |
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| 0.0443 | 8.0 | 2440 | 0.0890 | |
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| 0.0413 | 9.0 | 2745 | 0.0869 | |
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| 0.0381 | 10.0 | 3050 | 0.0905 | |
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| 0.0381 | 11.0 | 3355 | 0.0903 | |
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| 0.0356 | 12.0 | 3660 | 0.0900 | |
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| 0.0356 | 13.0 | 3965 | 0.0915 | |
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| 0.0341 | 14.0 | 4270 | 0.0937 | |
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| 0.0325 | 15.0 | 4575 | 0.0949 | |
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| 0.0325 | 16.0 | 4880 | 0.0943 | |
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| 0.0306 | 17.0 | 5185 | 0.0953 | |
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| 0.0306 | 18.0 | 5490 | 0.0948 | |
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| 0.0301 | 19.0 | 5795 | 0.0966 | |
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| 0.0288 | 20.0 | 6100 | 0.0969 | |
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| 0.0288 | 21.0 | 6405 | 0.0976 | |
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| 0.0279 | 22.0 | 6710 | 0.0987 | |
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| 0.0275 | 23.0 | 7015 | 0.0984 | |
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| 0.0275 | 24.0 | 7320 | 0.0975 | |
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| 0.027 | 25.0 | 7625 | 0.0979 | |
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| 0.027 | 26.0 | 7930 | 0.0984 | |
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| 0.0261 | 27.0 | 8235 | 0.0991 | |
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| 0.026 | 28.0 | 8540 | 0.0992 | |
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| 0.026 | 29.0 | 8845 | 0.0990 | |
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| 0.0259 | 30.0 | 9150 | 0.0989 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1+cu118 |
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- Tokenizers 0.13.3 |
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