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qwen2-7b-instr-v1

PEFT
Safetensors
llama-factory
lora
Generated from Trainer
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qwen2-7b-instr-v1 / README.md
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metadata
base_model: Qwen/Qwen2-7B-Instruct
library_name: peft
license: other
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: final-pretrain-v2
    results: []

final-pretrain-v2

This model is a fine-tuned version of Qwen/Qwen2-7B-Instruct on the farcaster_pretrain 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: 0.0002
  • 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
  • num_epochs: 8.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.2
  • Pytorch 2.3.0a0+ebedce2
  • Datasets 2.20.0
  • Tokenizers 0.19.1