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tinymodelFinetuned20epoch_16batch_32r

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metadata
license: apache-2.0
library_name: peft
tags:
  - trl
  - sft
  - unsloth
  - generated_from_trainer
base_model: unsloth/tinyllama-bnb-4bit
model-index:
  - name: tinymodelFinetuned100epoch
    results: []

tinymodelFinetuned100epoch

This model is a fine-tuned version of unsloth/tinyllama-bnb-4bit on the None dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 6
  • eval_batch_size: 8
  • seed: 3407
  • gradient_accumulation_steps: 12
  • total_train_batch_size: 72
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 5
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.11.1
  • Transformers 4.39.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.2