m-a-p/CriticLeanGPT-Qwen2.5-32B-Instruct-SFT

Qwen2.5-32B-Instruct-critic_lean_mix_48k

This model is a fine-tuned version of Qwen2.5-32B-Instruct on the critic_lean_mix_48k dataset. It achieves the following results on the evaluation set:

• Loss: 0.2674

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: 2
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 32
• total_train_batch_size: 64
• 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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	743	0.2554
0.2863	2.0	1486	0.2506
0.1776	3.0	2229	0.2674

Framework versions

• Transformers 4.44.2
• Pytorch 2.2.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1