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Qwen-das-1 – AI Model by BellLabs | AlphaNeural AI
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BellLabs
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Qwen-das-1
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peft
safetensors
generated_from_trainer
Qwen/Qwen2-Audio-7B-Instruct
adapter
apache-2.0
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Qwen-das-1
This model is a fine-tuned version of
Qwen/Qwen2-Audio-7B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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: 6
eval_batch_size: 6
seed: 42
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
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.0044
0.4167
10
0.0002
0.0
0.8333
20
0.0000
0.0
1.25
30
0.0000
0.0
1.6667
40
0.0000
Framework versions
PEFT 0.15.2
Transformers 4.54.0.dev0
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.2
