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Updated base_model tag in README.md
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metadata
license: apache-2.0
base_model: amazingvince/Yoda-WizardLM-2.3-7B
library_name: transformers
model-index:
  - name: Yoda-WizardLM-2.3-7B
    results: []
tags:
  - 4-bit
  - AWQ
  - text-generation
  - autotrain_compatible
  - endpoints_compatible
  - trl
  - orpo
  - generated_from_trainer
pipeline_tag: text-generation
inference: false
quantized_by: Suparious

amazingvince/Yoda-WizardLM-2.3-7B AWQ

Model Summary

This model is a fine-tuned version of amazingvince/Not-WizardLM-2-7B on an unknown dataset.

The following hyperparameters were used during training:

  • learning_rate: 5e-06
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3