metadata

license: apache-2.0
base_model: distilbert/distilbert-base-cased
tags:
  - trl
  - reward-trainer
  - generated_from_trainer
model-index:
  - name: reward_modeling_distilbert
    results: []

reward_modeling_distilbert

This model is a fine-tuned version of distilbert/distilbert-base-cased on the None 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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0

Training results

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1