metadata

license: other
base_model: stabilityai/stablelm-2-1_6b
tags:
  - choo-choo
  - trl
  - sft
  - generated_from_trainer
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: stablelm-2-1.6-disticoder-v0.1
    results: []

stablelm-2-1.6-disticoder-v0.1

This model is a fine-tuned version of stabilityai/stablelm-2-1_6b on the argilla/DistiCoder-dpo-binarized dataset. It achieves the following results on the evaluation set:

Loss: 1.1615

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-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.1578	1.78	20	1.1615

Framework versions

Transformers 4.37.2
Pytorch 2.1.1+cu121
Datasets 2.16.1
Tokenizers 0.15.2