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--- |
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base_model: defog/llama-3-sqlcoder-8b |
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library_name: peft |
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license: cc-by-sa-4.0 |
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tags: |
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- trl |
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- orpo |
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- generated_from_trainer |
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model-index: |
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- name: results |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sert121/huggingface/runs/ubrsk8hu) |
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# results |
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This model is a fine-tuned version of [defog/llama-3-sqlcoder-8b](https://huggingface.co/defog/llama-3-sqlcoder-8b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2568 |
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- Rewards/chosen: -0.0126 |
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- Rewards/rejected: -0.0217 |
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- Rewards/accuracies: 0.8944 |
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- Rewards/margins: 0.0091 |
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- Logps/rejected: -0.2167 |
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- Logps/chosen: -0.1258 |
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- Logits/rejected: 0.1307 |
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- Logits/chosen: 0.1283 |
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- Nll Loss: 0.2132 |
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- Log Odds Ratio: -0.4354 |
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- Log Odds Chosen: 0.6768 |
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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: 8e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:| |
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| 0.9481 | 0.2 | 72 | 0.9541 | -0.0776 | -0.0797 | 0.7143 | 0.0021 | -0.7975 | -0.7765 | -0.3031 | -0.3167 | 0.8875 | -0.6703 | 0.0480 | |
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| 0.7313 | 0.4 | 144 | 0.7089 | -0.0551 | -0.0596 | 0.8292 | 0.0045 | -0.5962 | -0.5513 | -0.1005 | -0.1135 | 0.6459 | -0.6312 | 0.1330 | |
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| 0.547 | 0.6 | 216 | 0.4407 | -0.0292 | -0.0367 | 0.8882 | 0.0075 | -0.3670 | -0.2924 | -0.0064 | -0.0109 | 0.3866 | -0.5408 | 0.3609 | |
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| 0.2547 | 0.8 | 288 | 0.3018 | -0.0164 | -0.0250 | 0.8882 | 0.0085 | -0.2498 | -0.1644 | 0.0633 | 0.0592 | 0.2551 | -0.4664 | 0.5805 | |
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| 0.3407 | 1.0 | 360 | 0.2568 | -0.0126 | -0.0217 | 0.8944 | 0.0091 | -0.2167 | -0.1258 | 0.1307 | 0.1283 | 0.2132 | -0.4354 | 0.6768 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.42.1 |
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- Pytorch 2.3.1+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
