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qwen-diacritize-test – AI Model by Bisher | AlphaNeural AI
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qwen-diacritize-test
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peft
safetensors
generated_from_trainer
Qwen/Qwen2.5-1.5B-Instruct
adapter
apache-2.0
us
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qwen-diacritize-test
This model is a fine-tuned version of
Qwen/Qwen2.5-1.5B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.2975
Accuracy: 0.0
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.9016
0.8
10
2.4251
0.0
1.7765
1.56
20
2.2975
0.0
Framework versions
PEFT 0.15.1
Transformers 4.51.2
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
