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MNLP_M2_RAG_model – AI Model by gbennani | AlphaNeural AI

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gbennani/
MNLP_M2_RAG_model

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text-generation

generated_from_trainer

Qwen/Qwen3-0.6B-Base

autotrain_compatible

text-generation-inference

endpoints_compatible

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MNLP_M2_RAG_model

This model is a fine-tuned version of Qwen/Qwen3-0.6B-Base 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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
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: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.52.4
Pytorch 2.5.1+cu124
Datasets 2.21.0
Tokenizers 0.21.0