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--- |
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license: bsd-3-clause |
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base_model: NumbersStation/nsql-350M |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: nsql-350M-finetuned |
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results: [] |
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pipeline_tag: text2text-generation |
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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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# nsql-350M-finetuned |
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This model is a fine-tuned version of [NumbersStation/nsql-350M](https://huggingface.co/NumbersStation/nsql-350M) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0114 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.1122 | 1.0 | 22 | 0.0555 | |
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| 0.0564 | 2.0 | 44 | 0.0263 | |
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| 0.0368 | 3.0 | 66 | 0.0222 | |
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| 0.0266 | 4.0 | 88 | 0.0161 | |
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| 0.0267 | 5.0 | 110 | 0.0175 | |
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| 0.0195 | 6.0 | 132 | 0.0153 | |
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| 0.0165 | 7.0 | 154 | 0.0119 | |
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| 0.0145 | 8.0 | 176 | 0.0116 | |
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| 0.0127 | 9.0 | 198 | 0.0123 | |
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| 0.0131 | 10.0 | 220 | 0.0127 | |
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| 0.0122 | 11.0 | 242 | 0.0108 | |
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| 0.0114 | 12.0 | 264 | 0.0112 | |
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| 0.0103 | 13.0 | 286 | 0.0113 | |
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| 0.0099 | 14.0 | 308 | 0.0114 | |
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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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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
