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--- |
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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: meta-llama/Llama-2-7b-hf |
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datasets: |
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- generator |
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model-index: |
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- name: llama7bit-lora-sql |
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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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# llama7bit-lora-sql |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3700 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 1399 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 100 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.2068 | 0.06 | 20 | 0.8181 | |
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| 0.6757 | 0.12 | 40 | 0.5148 | |
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| 0.5104 | 0.17 | 60 | 0.4552 | |
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| 0.4633 | 0.23 | 80 | 0.4269 | |
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| 0.442 | 0.29 | 100 | 0.4110 | |
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| 0.428 | 0.35 | 120 | 0.3993 | |
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| 0.4209 | 0.41 | 140 | 0.3983 | |
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| 0.4142 | 0.47 | 160 | 0.3932 | |
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| 0.4032 | 0.52 | 180 | 0.3888 | |
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| 0.3999 | 0.58 | 200 | 0.3841 | |
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| 0.3977 | 0.64 | 220 | 0.3827 | |
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| 0.397 | 0.7 | 240 | 0.3811 | |
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| 0.3927 | 0.76 | 260 | 0.3781 | |
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| 0.3873 | 0.82 | 280 | 0.3762 | |
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| 0.3871 | 0.87 | 300 | 0.3728 | |
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| 0.3861 | 0.93 | 320 | 0.3715 | |
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| 0.3809 | 0.99 | 340 | 0.3695 | |
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| 0.3664 | 1.05 | 360 | 0.3700 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
