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README.md
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---
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license: llama2
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: codellama/CodeLlama-7b-hf
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model-index:
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- name: codellama-7b-openapi-completion-ctx-lvl-fim-doc-split
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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/bohdan-petryshyn/huggingface/runs/ldh2pl8q)
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# codellama-7b-openapi-completion-ctx-lvl-fim-doc-split
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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: 0.4695
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 8
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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_ratio: 0.01
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- training_steps: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.3757 | 0.1 | 100 | 0.4760 |
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| 0.3548 | 0.2 | 200 | 0.4652 |
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| 0.369 | 0.3 | 300 | 0.4632 |
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| 0.3006 | 0.4 | 400 | 0.4718 |
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| 0.3316 | 0.5 | 500 | 0.4691 |
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| 0.3577 | 0.6 | 600 | 0.4708 |
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| 0.2885 | 0.7 | 700 | 0.4738 |
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| 0.3365 | 0.8 | 800 | 0.4741 |
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| 0.2498 | 0.9 | 900 | 0.4740 |
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| 0.2992 | 1.0 | 1000 | 0.4695 |
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### Framework versions
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- PEFT 0.10.1.dev0
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- Transformers 4.41.0.dev0
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- Pytorch 2.2.2+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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