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qwen-speech-ft – AI Model by hyan | AlphaNeural AI
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hyan
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qwen-speech-ft
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peft
safetensors
qwen2_vl
adapter
lora
transformers
trl
sft
text-generation
conversational
hyan/qwen-speech-ft
text-generation-inference
endpoints_compatible
4-bit
bitsandbytes
us
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qwen-speech-ft
This model is a fine-tuned version of
hyan/qwen-speech-ft
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
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 0.1
training_steps: 10
Training results
Framework versions
PEFT 0.18.1
Transformers 5.2.0.dev0
Pytorch 2.7.0
Datasets 4.5.0
Tokenizers 0.22.2
