metadata

license: cc-by-nc-4.0
base_model: Q-bert/MetaMath-Cybertron-Starling
tags:
  - generated_from_trainer
model-index:
  - name: MetaMath-Cybertron-Starling-Ruby
    results: []

MetaMath-Cybertron-Starling-Ruby

This model is a fine-tuned version of Q-bert/MetaMath-Cybertron-Starling on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0319

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.0913	0.39	50	1.0976
1.0399	0.78	100	1.0319

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1