metadata
library_name: transformers
base_model: outputs/iter0-ckpt
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- new_data/iter0
- new_data/iter1
model-index:
- name: iter1-ckpt
results: []
iter1-ckpt
This model is a fine-tuned version of outputs/iter0-ckpt on the new_data/iter0 and the new_data/iter1 datasets.
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: 5e-07
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6.0
Training results
Framework versions
- Transformers 4.45.0
- Pytorch 2.1.2+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3