metadata

license: bigscience-bloom-rail-1.0
base_model: bigscience/bloom-560m
tags:
  - generated_from_trainer
model-index:
  - name: bigscience-bloom-560m-brief-history-of-time-model
    results: []

bigscience-bloom-560m-brief-history-of-time-model

This model is a fine-tuned version of bigscience/bloom-560m 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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 100

Training results

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1