README.md

metadata

license: apache-2.0
base_model: AmberYifan/test-spin-iter0
tags:
  - alignment-handbook
  - generated_from_trainer
datasets:
  - UCLA-AGI/SPIN_iter0
  - UCLA-AGI/SPIN_iter1
model-index:
  - name: iter1_full
    results: []

iter1_full

This model is a fine-tuned version of AmberYifan/test-spin-iter0 on the UCLA-AGI/SPIN_iter0 and the UCLA-AGI/SPIN_iter1 datasets.

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-07
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 32
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Framework versions

• Transformers 4.37.0
• Pytorch 2.1.2+cu121
• Datasets 2.14.6
• Tokenizers 0.15.2