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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: m-a-p/OpenCodeInterpreter-DS-6.7B |
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datasets: |
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- generator |
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model-index: |
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- name: OpenCodeInterpreter-DS-6.7B-SQL2 |
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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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# OpenCodeInterpreter-DS-6.7B-SQL2 |
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This model is a fine-tuned version of [m-a-p/OpenCodeInterpreter-DS-6.7B](https://huggingface.co/m-a-p/OpenCodeInterpreter-DS-6.7B) on a downsampled (20,000 samples) `b-mc2/sql-create-context` dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3180 |
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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: 0.0002 |
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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: cosine |
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- lr_scheduler_warmup_steps: 30 |
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- training_steps: 1600 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3643 | 1.44 | 200 | 0.3582 | |
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| 0.337 | 2.88 | 400 | 0.3357 | |
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| 0.3197 | 4.32 | 600 | 0.3271 | |
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| 0.3126 | 5.76 | 800 | 0.3222 | |
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| 0.3034 | 7.19 | 1000 | 0.3198 | |
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| 0.2998 | 8.63 | 1200 | 0.3185 | |
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| 0.297 | 10.07 | 1400 | 0.3180 | |
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| 0.2964 | 11.51 | 1600 | 0.3180 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
