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ese-qwen-0.5b-nli – AI Model by WhereIsAI | AlphaNeural AI
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ese-qwen-0.5b-nli
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Qwen/Qwen1.5-0.5B
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ese-qwen-0.5b-nli
This model is a fine-tuned version of
Qwen/Qwen1.5-0.5B
on an unknown dataset.
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: 0.0002
train_batch_size: 64
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 512
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Framework versions
PEFT 0.9.0
Transformers 4.39.3
Pytorch 2.0.1
Datasets 2.18.0
Tokenizers 0.15.0
