Hugging Face's logo

zhangduo4610
/
opt350

PEFT
TensorBoard
Safetensors
opt
alignment-handbook
trl
sft
Generated from Trainer
Model card Files Metrics Community
opt350 / README.md
zhangduo4610's picture
zhangduo4610
End of training
c46a899 verified
preview code
|
raw
history blame
1.4 kB
metadata
base_model: facebook/opt-350m
datasets:
  - HuggingFaceH4/ultrachat_200k
library_name: peft
license: other
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: opt350
    results: []

opt350

This model is a fine-tuned version of facebook/opt-350m on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7869

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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Framework versions

  • PEFT 0.13.2
  • Transformers 4.45.0
  • Pytorch 2.1.2
  • Datasets 3.1.0
  • Tokenizers 0.20.2