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qwen1.8b_finetuned_xsum – AI Model by EndLessTime | AlphaNeural AI
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EndLessTime
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qwen1.8b_finetuned_xsum
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transformers
safetensors
qwen2
text-classification
generated_from_trainer
Qwen/Qwen1.5-1.8B
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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qwen1.8b_finetuned_xsum
This model is a fine-tuned version of
Qwen/Qwen1.5-1.8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1046
Accuracy: 0.9662
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: 32
eval_batch_size: 32
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
0.1115
0.5774
500
0.1046
0.9662
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu126
Datasets 3.3.2
Tokenizers 0.21.0
