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qwen1.5_gsm_esft_token_lr5e-6 – AI Model by RoxanneWsyw | AlphaNeural AI

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RoxanneWsyw/
qwen1.5_gsm_esft_token_lr5e-6

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text-generation

generated_from_trainer

Qwen/Qwen1.5-MoE-A2.7B

autotrain_compatible

endpoints_compatible

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qwen1.5_gsm_lr5e-6

This model is a fine-tuned version of Qwen/Qwen1.5-MoE-A2.7B on the gsm_lf 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: 5e-06
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 64
total_eval_batch_size: 32
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: 4.0

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1