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prefix_Aswini123_IntentCONANv2 – AI Model by prakharsinghal | AlphaNeural AI
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prakharsinghal
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prefix_Aswini123_IntentCONANv2
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peft
safetensors
adapter
transformers
text-generation
conversational
Qwen/Qwen2.5-0.5B-Instruct
apache-2.0
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prefix_Aswini123_IntentCONANv2
This model is a fine-tuned version of
Qwen/Qwen2.5-0.5B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9566
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
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.8973
0.9984
476
2.0050
1.8827
1.9963
952
1.9664
1.9039
2.9942
1428
1.9566
Framework versions
PEFT 0.17.0
Transformers 4.55.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4
