metadata

library_name: peft
license: mit
base_model: fxmarty/tiny-dummy-qwen2
tags:
  - generated_from_trainer
model-index:
  - name: qwen_debug_test
    results: []

qwen_debug_test

This model is a fine-tuned version of fxmarty/tiny-dummy-qwen2 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: 2
eval_batch_size: 5
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Prm accuracy	Prm precision	Prm recall	Prm specificty	Prm npv	Prm f1	Prm f1 neg	Prm f1 auc
No log	0	0	0.6923	0.6769	0.8113	0.7963	0.0909	0.0833	0.8037	0.0870	0.4436

Framework versions

PEFT 0.13.2
Transformers 4.46.0
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.1