qwen_sky_o1_3_full – AI Model by CharlesLi | AlphaNeural AI

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CharlesLi/
qwen_sky_o1_3_full

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text-generation

alignment-handbook

generated_from_trainer

Qwen/Qwen2.5-7B-Instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

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qwen_sky_o1_3_full

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.3802

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: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 32
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

Training Loss	Epoch	Step	Validation Loss
0.581	0.3876	100	0.4715
0.5045	0.7752	200	0.3866

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1