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Model save
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README.md
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---
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library_name: peft
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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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base_model: kakinola23/Meta-Llama-3-8B-bnb-4bit-new
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model-index:
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- name: results
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results: []
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# results
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This model is a fine-tuned version of [
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## Model description
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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:
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_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: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.
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- Transformers 4.
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- Pytorch 2.
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- Datasets
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- Tokenizers 0.19.1
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---
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base_model: meta-llama/Llama-3.2-3B
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library_name: peft
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license: llama3.2
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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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model-index:
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- name: results
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results: []
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# results
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the None dataset.
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## Model description
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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: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_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: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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adapter_model.safetensors
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runs/Oct14_17-02-58_7ba796e60d01/events.out.tfevents.1728925469.7ba796e60d01.7803.1
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