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

MunicipalPredictionModel-TinyLlama

This model is a fine-tuned version of unsloth/tinyllama-chat-bnb-4bit on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6823

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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
4.5606 0.0377 10 4.0606
3.7693 0.0753 20 3.5539
3.3915 0.1130 30 3.2022
3.0938 0.1507 40 2.9560
2.8692 0.1883 50 2.7576
2.6774 0.2260 60 2.5706
2.5012 0.2637 70 2.3805
2.3332 0.3013 80 2.2277
2.159 0.3390 90 2.1030
2.0806 0.3766 100 2.0125
1.9781 0.4143 110 1.9497
1.9683 0.4520 120 1.9005
1.917 0.4896 130 1.8584
1.8551 0.5273 140 1.8224
1.8121 0.5650 150 1.7910
1.7998 0.6026 160 1.7673
1.7484 0.6403 170 1.7486
1.7221 0.6780 180 1.7331
1.7171 0.7156 190 1.7207
1.7103 0.7533 200 1.7108
1.7086 0.7910 210 1.7025
1.7083 0.8286 220 1.6955
1.7065 0.8663 230 1.6907
1.6829 0.9040 240 1.6864
1.6892 0.9416 250 1.6838
1.6985 0.9793 260 1.6823

Framework versions

  • PEFT 0.12.0
  • Transformers 4.43.4
  • Pytorch 2.2.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.19.0