rishavranaut / Qwen2_Final_MT

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7-day runs: -1
30-day runs: -3
Model's Last Updated: October 22 2024

Introduction of Qwen2_Final_MT

Model Details of Qwen2_Final_MT

llama2-7B_final_MT

This model is a fine-tuned version of Qwen/Qwen2-7B on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5523
  • Accuracy: 0.8117
  • Precision: 0.7913
  • Recall: 0.8467
  • F1 score: 0.8180
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: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1 score
0.8396 0.5 200 0.8733 0.645 0.6064 0.8267 0.6996
0.6541 1.0 400 0.6882 0.695 0.7127 0.6533 0.6817
0.4601 1.5 600 0.6691 0.7067 0.6505 0.8933 0.7528
0.4437 2.0 800 0.5010 0.7833 0.7690 0.81 0.7890
0.3406 2.5 1000 0.5010 0.7767 0.7823 0.7667 0.7744
0.2919 3.0 1200 0.4927 0.8117 0.8127 0.81 0.8114
0.2219 3.5 1400 0.4971 0.8217 0.8044 0.85 0.8266
0.2154 4.0 1600 0.6404 0.7633 0.7147 0.8767 0.7874
0.1381 4.5 1800 0.5391 0.815 0.8 0.84 0.8195
0.1531 5.0 2000 0.5523 0.8117 0.7913 0.8467 0.8180
Framework versions
  • PEFT 0.11.1
  • Transformers 4.44.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Runs of rishavranaut Qwen2_Final_MT on huggingface.co

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More Information About Qwen2_Final_MT huggingface.co Model

More Qwen2_Final_MT license Visit here:

https://choosealicense.com/licenses/apache-2.0

Qwen2_Final_MT huggingface.co

Qwen2_Final_MT huggingface.co is an AI model on huggingface.co that provides Qwen2_Final_MT's model effect (), which can be used instantly with this rishavranaut Qwen2_Final_MT model. huggingface.co supports a free trial of the Qwen2_Final_MT model, and also provides paid use of the Qwen2_Final_MT. Support call Qwen2_Final_MT model through api, including Node.js, Python, http.

rishavranaut Qwen2_Final_MT online free

Qwen2_Final_MT huggingface.co is an online trial and call api platform, which integrates Qwen2_Final_MT's modeling effects, including api services, and provides a free online trial of Qwen2_Final_MT, you can try Qwen2_Final_MT online for free by clicking the link below.

rishavranaut Qwen2_Final_MT online free url in huggingface.co:

https://huggingface.co/rishavranaut/Qwen2_Final_MT

Qwen2_Final_MT install

Qwen2_Final_MT is an open source model from GitHub that offers a free installation service, and any user can find Qwen2_Final_MT on GitHub to install. At the same time, huggingface.co provides the effect of Qwen2_Final_MT install, users can directly use Qwen2_Final_MT installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Qwen2_Final_MT install url in huggingface.co:

https://huggingface.co/rishavranaut/Qwen2_Final_MT

Url of Qwen2_Final_MT

Provider of Qwen2_Final_MT huggingface.co

rishavranaut
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