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QwenTranslate_English_German – AI Model by baban | AlphaNeural AI
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QwenTranslate_English_German
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-3B-Instruct
finetune
other
text-generation-inference
endpoints_compatible
us
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MT_En_German
This model is a fine-tuned version of
Qwen/Qwen2.5-3B-Instruct
on the MT_En_German dataset. It achieves the following results on the evaluation set:
Loss: 0.7843
Num Input Tokens Seen: 571898240
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: 5e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 1024
total_eval_batch_size: 128
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: inverse_sqrt
num_epochs: 3.0
Training results
Framework versions
Transformers 5.6.0
Pytorch 2.7.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2
