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Qwen2.5-1.5B_lightr1_3_EN_1024_1p0_0p0_1p0_sft – AI Model by mveroe | AlphaNeural AI

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mveroe/
Qwen2.5-1.5B_lightr1_3_EN_1024_1p0_0p0_1p0_sft

like

0

text-generation

generated_from_trainer

Qwen/Qwen2.5-1.5B

autotrain_compatible

text-generation-inference

endpoints_compatible

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Qwen2.5-1.5B_lightr1_3_EN_1024_1p0_0p0_1p0_sft

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B 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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Framework versions

Transformers 4.55.2
Pytorch 2.7.1+cu128
Datasets 4.0.0
Tokenizers 0.21.2