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fine_tuned_per_domain_balanced_32B – AI Model by EndOfLe | AlphaNeural AI
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EndOfLe
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fine_tuned_per_domain_balanced_32B
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transformers
safetensors
qwen2
text-classification
generated_from_trainer
Qwen/Qwen1.5-32B
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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fine_tuned_per_domain_balanced_32B
This model is a fine-tuned version of
Qwen/Qwen1.5-32B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7662
Accuracy: 0.8872
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: 1
eval_batch_size: 1
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: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.2847
0.0029
500
0.6642
0.8478
0.6806
0.0057
1000
0.7300
0.8827
0.5189
0.0086
1500
0.7124
0.8809
0.6228
0.0114
2000
0.7662
0.8872
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu126
Datasets 3.3.2
Tokenizers 0.21.0
