README.md

metadata

license: apache-2.0
base_model: martimfasantos/tinyllama-1.1b-mt-sft-full
tags:
  - alignment-handbook
  - trl
  - dpo
  - generated_from_trainer
  - trl
  - dpo
  - generated_from_trainer
datasets:
  - haoranxu/ALMA-R-Preference
model-index:
  - name: tinyllama-1.1b-mt-simpo_beta2.0_gamma1.0_LR5e-8_BS16_rmsprop_3epochs
    results: []

tinyllama-1.1b-mt-simpo_beta2.0_gamma1.0_LR5e-8_BS16_rmsprop_3epochs

This model is a fine-tuned version of martimfasantos/tinyllama-1.1b-mt-sft-full on the haoranxu/ALMA-R-Preference 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-08
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• 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

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1