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metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - preference-data
model-index:
  - name: feedback_p0.05_seed42_level2_raremix
    results: []

feedback_p0.05_seed42_level2_raremix

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the preference-data dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2961

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: 1e-05
  • train_batch_size: 2
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • total_eval_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
0.3526 0.9995 931 0.2961

Framework versions

  • Transformers 4.43.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1