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--- |
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base_model: meta-llama/Meta-Llama-3.1-8B |
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datasets: |
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- llama-duo/synth_coding_dataset_dedup |
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library_name: peft |
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license: llama3.1 |
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tags: |
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- alignment-handbook |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: llama3.1-8b-coding-gpt4o-100k |
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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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# llama3.1-8b-coding-gpt4o-100k |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co./meta-llama/Meta-Llama-3.1-8B) on the llama-duo/synth_coding_dataset_dedup dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3444 |
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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: 2 |
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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: 32 |
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- total_eval_batch_size: 8 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.741 | 1.0 | 525 | 1.3567 | |
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| 0.7109 | 2.0 | 1050 | 1.3158 | |
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| 0.7026 | 3.0 | 1575 | 1.3116 | |
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| 0.6682 | 4.0 | 2100 | 1.3090 | |
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| 0.6825 | 5.0 | 2625 | 1.3126 | |
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| 0.6429 | 6.0 | 3150 | 1.3228 | |
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| 0.6334 | 7.0 | 3675 | 1.3276 | |
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| 0.6257 | 8.0 | 4200 | 1.3404 | |
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| 0.6314 | 9.0 | 4725 | 1.3410 | |
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| 0.6205 | 10.0 | 5250 | 1.3444 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.43.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
