README.md

metadata

license: apache-2.0
base_model: martimfasantos/tinyllama-1.1b-mt-sft-full_sardine
tags:
  - alignment-handbook
  - trl
  - dpo
  - generated_from_trainer
  - trl
  - dpo
  - generated_from_trainer
datasets:
  - sardinelab/MT-pref
model-index:
  - name: >-
      tinyllama-1.1b-mt-dpo-full_LR1e-7_BS32_rmsprop_3epochs_sft_sardine_dpo_sardine
    results: []

tinyllama-1.1b-mt-dpo-full_LR1e-7_BS32_rmsprop_3epochs_sft_sardine_dpo_sardine

This model is a fine-tuned version of martimfasantos/tinyllama-1.1b-mt-sft-full_sardine on the sardinelab/MT-pref 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: 1e-07
• train_batch_size: 1
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• 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