README.md

metadata

license: apache-2.0
base_model: mistral-community/Mixtral-8x22B-v0.1
tags:
  - trl
  - orpo
  - generated_from_trainer
model-index:
  - name: Mixtral-8x22B-capybara-v0.1
    results: []

Mixtral-8x22B-capybara-v0.1

This model is a fine-tuned version of mistral-community/Mixtral-8x22B-v0.1 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: 5e-06
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 32
• total_train_batch_size: 32
• total_eval_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: inverse_sqrt
• lr_scheduler_warmup_steps: 100
• num_epochs: 3

Training results

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2+cu121
• Datasets 2.18.0
• Tokenizers 0.15.1