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dmWM-Qwen-Qwen2.5-3B-Instruct-LucieFr-Al4-OWT-d4-a0.1-v2 – AI Model by Grogros | AlphaNeural AI
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Grogros
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dmWM-Qwen-Qwen2.5-3B-Instruct-LucieFr-Al4-OWT-d4-a0.1-v2
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transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
Qwen/Qwen2.5-3B-Instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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dmWM-Qwen-Qwen2.5-3B-Instruct-LucieFr-Al4-OWT-d4-a0.1-v2
This model is a fine-tuned version of
Qwen/Qwen2.5-3B-Instruct
on the None 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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2500
Training results
Framework versions
Transformers 4.46.3
Pytorch 2.5.1.post303
Datasets 3.2.0
Tokenizers 0.20.3
