metadata

license: bigscience-bloom-rail-1.0
base_model: bigscience/bloom-560m
tags:
  - generated_from_trainer
model-index:
  - name: bloom-560m_reward_model_ps_right
    results: []

bloom-560m_reward_model_ps_right

This model is a fine-tuned version of bigscience/bloom-560m 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: 1.41e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Framework versions

Transformers 4.35.2
Pytorch 2.0.1+cu117
Datasets 2.15.0
Tokenizers 0.15.0