metadata

library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-7B
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: hp_ablations_qwen_bsz256
    results: []

hp_ablations_qwen_bsz256

This model is a fine-tuned version of Qwen/Qwen2.5-7B on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset. It achieves the following results on the evaluation set:

Loss: 0.6213

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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 256
total_eval_batch_size: 64
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: constant
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 1738
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.6134	0.9994	877	0.6224
0.5823	2.0	1755	0.6175
0.5443	2.9983	2631	0.6213

Framework versions

Transformers 4.46.1
Pytorch 2.3.0
Datasets 3.0.2
Tokenizers 0.20.3