metadata
license: mit
base_model: jaigouk/go-bruins-bf16-ruby
tags:
- generated_from_trainer
model-index:
- name: go-bruins-ruby
results: []
go-bruins-ruby
This model is a fine-tuned version of jaigouk/go-bruins-bf16-ruby 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: 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
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1