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qwen-2.5-sft-oasst1 – AI Model by ma921 | AlphaNeural AI
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ma921
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qwen-2.5-sft-oasst1
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transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
Qwen/Qwen2.5-1.5B-Instruct
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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qwen-2.5-sft-oasst1
This model is a fine-tuned version of
Qwen/Qwen2.5-1.5B-Instruct
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-07
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 32
total_train_batch_size: 256
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: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.6.0
Tokenizers 0.21.0
