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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- lc_quad |
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model-index: |
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- name: flan-t5-text2sparql-custom-tokenizer |
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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-text2sparql-custom-tokenizer |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the lc_quad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8039 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 50 |
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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 | 301 | 2.6503 | |
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| 3.2271 | 2.0 | 602 | 2.3894 | |
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| 3.2271 | 3.0 | 903 | 2.2532 | |
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| 2.3957 | 4.0 | 1204 | 2.1631 | |
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| 2.18 | 5.0 | 1505 | 2.0788 | |
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| 2.18 | 6.0 | 1806 | 2.0195 | |
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| 2.0209 | 7.0 | 2107 | 1.9681 | |
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| 2.0209 | 8.0 | 2408 | 1.9353 | |
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| 1.9087 | 9.0 | 2709 | 1.8936 | |
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| 1.8114 | 10.0 | 3010 | 1.8683 | |
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| 1.8114 | 11.0 | 3311 | 1.8556 | |
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| 1.7254 | 12.0 | 3612 | 1.8284 | |
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| 1.7254 | 13.0 | 3913 | 1.8099 | |
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| 1.6556 | 14.0 | 4214 | 1.7932 | |
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| 1.5891 | 15.0 | 4515 | 1.7823 | |
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| 1.5891 | 16.0 | 4816 | 1.7691 | |
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| 1.528 | 17.0 | 5117 | 1.7569 | |
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| 1.528 | 18.0 | 5418 | 1.7578 | |
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| 1.4784 | 19.0 | 5719 | 1.7561 | |
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| 1.4288 | 20.0 | 6020 | 1.7514 | |
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| 1.4288 | 21.0 | 6321 | 1.7372 | |
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| 1.3793 | 22.0 | 6622 | 1.7318 | |
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| 1.3793 | 23.0 | 6923 | 1.7244 | |
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| 1.3436 | 24.0 | 7224 | 1.7382 | |
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| 1.3073 | 25.0 | 7525 | 1.7254 | |
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| 1.3073 | 26.0 | 7826 | 1.7494 | |
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| 1.2692 | 27.0 | 8127 | 1.7378 | |
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| 1.2692 | 28.0 | 8428 | 1.7387 | |
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| 1.242 | 29.0 | 8729 | 1.7290 | |
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| 1.2107 | 30.0 | 9030 | 1.7391 | |
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| 1.2107 | 31.0 | 9331 | 1.7458 | |
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| 1.1817 | 32.0 | 9632 | 1.7528 | |
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| 1.1817 | 33.0 | 9933 | 1.7521 | |
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| 1.1661 | 34.0 | 10234 | 1.7672 | |
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| 1.136 | 35.0 | 10535 | 1.7594 | |
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| 1.136 | 36.0 | 10836 | 1.7564 | |
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| 1.1216 | 37.0 | 11137 | 1.7670 | |
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| 1.1216 | 38.0 | 11438 | 1.7724 | |
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| 1.1031 | 39.0 | 11739 | 1.7766 | |
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| 1.0834 | 40.0 | 12040 | 1.7756 | |
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| 1.0834 | 41.0 | 12341 | 1.7786 | |
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| 1.0707 | 42.0 | 12642 | 1.7947 | |
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| 1.0707 | 43.0 | 12943 | 1.7931 | |
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| 1.058 | 44.0 | 13244 | 1.7925 | |
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| 1.0489 | 45.0 | 13545 | 1.7939 | |
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| 1.0489 | 46.0 | 13846 | 1.7969 | |
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| 1.0421 | 47.0 | 14147 | 1.7982 | |
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| 1.0421 | 48.0 | 14448 | 1.7994 | |
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| 1.0357 | 49.0 | 14749 | 1.8018 | |
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| 1.03 | 50.0 | 15050 | 1.8039 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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