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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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model-index: |
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- name: t5-small-finetuned-acbsql |
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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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# t5-small-finetuned-acbsql |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2372 |
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- Rouge2 Precision: 0.4316 |
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- Rouge2 Recall: 0.1587 |
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- Rouge2 Fmeasure: 0.2284 |
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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: 16 |
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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: 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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| No log | 1.0 | 80 | 0.8580 | 0.0363 | 0.0134 | 0.0184 | |
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| No log | 2.0 | 160 | 0.3950 | 0.3302 | 0.1213 | 0.1741 | |
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| No log | 3.0 | 240 | 0.2827 | 0.4003 | 0.1499 | 0.2143 | |
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| No log | 4.0 | 320 | 0.2479 | 0.4308 | 0.1593 | 0.229 | |
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| No log | 5.0 | 400 | 0.2372 | 0.4316 | 0.1587 | 0.2284 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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