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Merlin-7B-v0.1

PEFT
Safetensors
mistral
Generated from Trainer
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Merlin-7B-v0.1 / README.md
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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
  - name: Merlin-7B-v0.1
    results: []

Merlin-7B-v0.1

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown 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: 0.001
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 3.0

Training results

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0