77 lines
2.1 KiB
Markdown
77 lines
2.1 KiB
Markdown
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---
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library_name: transformers
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license: other
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base_model: codellama/CodeLlama-7b-Instruct-hf
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: final_sft_CodeLlama-7b-Instruct-hf
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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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# final_sft_CodeLlama-7b-Instruct-hf
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This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the efficoder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3331
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## Model description
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train on EFFIINSTRUCT_python
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## Intended uses & limitations
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generate effective code
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## Training and evaluation data
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train on EFFIINSTRUCT_python
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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: 5e-06
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- train_batch_size: 8
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 4
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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: 0.03
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- num_epochs: 4.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.2475 | 0.3401 | 50 | 0.2433 |
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| 0.2425 | 0.6803 | 100 | 0.2314 |
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| 0.2147 | 1.0204 | 150 | 0.2318 |
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| 0.1702 | 1.3605 | 200 | 0.2378 |
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| 0.1758 | 1.7007 | 250 | 0.2396 |
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| 0.1438 | 2.0408 | 300 | 0.2643 |
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| 0.0989 | 2.3810 | 350 | 0.2823 |
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| 0.0991 | 2.7211 | 400 | 0.2799 |
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| 0.065 | 3.0612 | 450 | 0.3123 |
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| 0.0601 | 3.4014 | 500 | 0.3348 |
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| 0.0645 | 3.7415 | 550 | 0.3324 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.2.2+cu121
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- Datasets 4.8.4
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- Tokenizers 0.19.1
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