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--- |
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license: llama2 |
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base_model: codellama/CodeLlama-7b-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: code-llama-sparql-without-context |
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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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# code-llama-sparql-without-context |
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This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3919 |
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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: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 100 |
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- training_steps: 400 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.1205 | 0.0710 | 20 | 2.0361 | |
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| 1.3176 | 0.1421 | 40 | 0.8967 | |
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| 0.697 | 0.2131 | 60 | 0.6455 | |
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| 0.5763 | 0.2842 | 80 | 0.5313 | |
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| 0.4241 | 0.3552 | 100 | 0.5366 | |
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| 0.4733 | 0.4263 | 120 | 0.4792 | |
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| 0.478 | 0.4973 | 140 | 0.4572 | |
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| 0.4644 | 0.5684 | 160 | 0.4450 | |
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| 0.4966 | 0.6394 | 180 | 0.4355 | |
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| 0.3838 | 0.7105 | 200 | 0.4419 | |
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| 0.4321 | 0.7815 | 220 | 0.4305 | |
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| 0.4472 | 0.8526 | 240 | 0.4150 | |
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| 0.4122 | 0.9236 | 260 | 0.4090 | |
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| 0.4249 | 0.9947 | 280 | 0.4086 | |
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| 0.3845 | 1.0657 | 300 | 0.4031 | |
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| 0.4347 | 1.1368 | 320 | 0.3995 | |
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| 0.3724 | 1.2078 | 340 | 0.3992 | |
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| 0.4197 | 1.2789 | 360 | 0.3937 | |
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| 0.3887 | 1.3499 | 380 | 0.3922 | |
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| 0.3645 | 1.4210 | 400 | 0.3919 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.10.1 |
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- Tokenizers 0.19.1 |
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