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Chirag0123
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law_reso

PEFT
Safetensors
trl
sft
Generated from Trainer
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metadata
license: mit
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: TheBloke/zephyr-7B-beta-GPTQ
model-index:
  - name: law_reso
    results: []

law_reso

This model is a fine-tuned version of TheBloke/zephyr-7B-beta-GPTQ 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: 2e-06
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • training_steps: 250
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.9.0
  • Transformers 4.38.2
  • Pytorch 2.2.0
  • Datasets 2.18.0
  • Tokenizers 0.15.2