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--- |
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license: llama2 |
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base_model: meta-llama/CodeLlama-13b-Instruct-hf |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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datasets: |
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- meng-lab/CodeLlama-13B-Instruct-gsm8k |
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model-index: |
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- name: CodeLlama-13b-Instruct-sft-5e-3-epoch-100-gsm8k |
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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/uva-llm/huggingface/runs/26r5nw5b) |
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# CodeLlama-13b-Instruct-sft-5e-3-epoch-100-gsm8k |
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This model is a fine-tuned version of [meta-llama/CodeLlama-13b-Instruct-hf](https://huggingface.co/meta-llama/CodeLlama-13b-Instruct-hf) on the meng-lab/CodeLlama-13B-Instruct-gsm8k dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.0229 |
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- Loss Layer 5 Head: 1.4382 |
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- Loss Layer 10 Head: 0.9813 |
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- Loss Layer 15 Head: 0.9315 |
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- Loss Layer 20 Head: 0.4901 |
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- Loss Layer 25 Head: 0.1839 |
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- Loss Layer 30 Head: 0.1044 |
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- Loss Layer 35 Head: 0.1004 |
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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: 0.005 |
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- train_batch_size: 1 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- total_eval_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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Loss Layer 5 Head | Loss Layer 10 Head | Loss Layer 15 Head | Loss Layer 20 Head | Loss Layer 25 Head | Loss Layer 30 Head | Loss Layer 35 Head | |
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|:-------------:|:-------:|:----:|:---------------:|:-----------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:| |
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| 3.5888 | 26.0163 | 200 | 4.9539 | 1.5721 | 1.0672 | 1.1373 | 0.7569 | 0.2971 | 0.1321 | 0.2111 | |
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| 2.2226 | 52.0325 | 400 | 4.1476 | 1.4725 | 0.9947 | 0.9848 | 0.4952 | 0.1877 | 0.1073 | 0.1141 | |
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| 1.9091 | 78.0488 | 600 | 4.0229 | 1.4382 | 0.9813 | 0.9315 | 0.4901 | 0.1839 | 0.1044 | 0.1004 | |
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### Framework versions |
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- Transformers 4.43.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.19.1 |
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