Model save
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README.md
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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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- wikisql
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model-index:
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- name: flan-t5-base-finetune
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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-base-finetune
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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 wikisql dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0966
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- Rouge2 Precision: 0.8525
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- Rouge2 Recall: 0.5466
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- Rouge2 Fmeasure: 0.6549
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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: 128
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
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| 0.162 | 1.0 | 2025 | 0.1235 | 0.8357 | 0.5366 | 0.6425 |
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| 0.1277 | 2.0 | 4050 | 0.1082 | 0.8434 | 0.5413 | 0.6482 |
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| 0.1142 | 3.0 | 6075 | 0.1000 | 0.8491 | 0.5443 | 0.6522 |
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| 0.1063 | 4.0 | 8100 | 0.0978 | 0.8516 | 0.5464 | 0.6544 |
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| 0.1 | 5.0 | 10125 | 0.0966 | 0.8525 | 0.5466 | 0.6549 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.28.1"
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}
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runs/May04_22-57-29_eec8524d6951/events.out.tfevents.1683241308.eec8524d6951.12760.0
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size
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size 11145
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