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--- |
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library_name: peft |
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license: llama3.2 |
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base_model: meta-llama/Llama-3.2-1B |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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datasets: |
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- generator |
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model-index: |
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- name: llama3.1-1b-coding-gpt4o-100k2 |
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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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# llama3.1-1b-coding-gpt4o-100k2 |
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6745 |
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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: 0.002 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 2 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 256 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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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| 1.2024 | 1.0 | 34 | 1.7381 | |
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| 1.0846 | 2.0 | 68 | 1.6923 | |
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| 1.0447 | 3.0 | 102 | 1.6731 | |
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| 1.0207 | 4.0 | 136 | 1.6660 | |
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| 1.0039 | 5.0 | 170 | 1.6681 | |
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| 0.9957 | 6.0 | 204 | 1.6620 | |
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| 0.9793 | 7.0 | 238 | 1.6656 | |
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| 0.9761 | 8.0 | 272 | 1.6707 | |
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| 0.9678 | 9.0 | 306 | 1.6741 | |
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| 0.9709 | 10.0 | 340 | 1.6745 | |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.50.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
