artdev99 / MNLP_M3_rag_model

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 1
30-day runs: 1
Model's Last Updated: June 11 2025
text-generation

Introduction of MNLP_M3_rag_model

Model Details of MNLP_M3_rag_model

MNLP_M3_rag_model

This model is a fine-tuned version of Qwen/Qwen3-0.6B-Base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4120
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: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 64
  • total_eval_batch_size: 64
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 2
Training results
Training Loss Epoch Step Validation Loss
0.4932 1.0 9996 0.4120
0.3206 2.0 19992 0.4237
Framework versions
  • Transformers 4.52.4
  • Pytorch 2.7.1+cu126
  • Datasets 3.6.0
  • Tokenizers 0.21.1

Runs of artdev99 MNLP_M3_rag_model on huggingface.co

3
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
1
30-day runs

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MNLP_M3_rag_model huggingface.co

MNLP_M3_rag_model huggingface.co is an AI model on huggingface.co that provides MNLP_M3_rag_model's model effect (), which can be used instantly with this artdev99 MNLP_M3_rag_model model. huggingface.co supports a free trial of the MNLP_M3_rag_model model, and also provides paid use of the MNLP_M3_rag_model. Support call MNLP_M3_rag_model model through api, including Node.js, Python, http.

MNLP_M3_rag_model huggingface.co Url

https://huggingface.co/artdev99/MNLP_M3_rag_model

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https://huggingface.co/artdev99/MNLP_M3_rag_model

MNLP_M3_rag_model install

MNLP_M3_rag_model is an open source model from GitHub that offers a free installation service, and any user can find MNLP_M3_rag_model on GitHub to install. At the same time, huggingface.co provides the effect of MNLP_M3_rag_model install, users can directly use MNLP_M3_rag_model installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

MNLP_M3_rag_model install url in huggingface.co:

https://huggingface.co/artdev99/MNLP_M3_rag_model

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