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Qwen-Qwen2.5-1.5B-Instruct-agnews – AI Model by g-assismoraes | AlphaNeural AI
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Qwen-Qwen2.5-1.5B-Instruct-agnews
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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-Qwen2.5-1.5B-Instruct-agnews
This model is a fine-tuned version of
Qwen/Qwen2.5-1.5B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0024
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: 4
eval_batch_size: 4
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.9988
1.0
27000
1.0028
0.9831
2.0
54000
1.0024
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0
