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multi_task_model_content

phunganhsang / multi_task_model_content

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Total runs: 0
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: November 07 2025

Introduction of multi_task_model_content

Model Details of multi_task_model_content

multi_task_model_content

This model is a fine-tuned version of RonTon05/model_content_V2_test on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9316
  • Accuracy: 0.6755
  • F1: 0.4286
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: 64
  • eval_batch_size: 64
  • 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: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy F1
1.3757 1.0 330 1.2561 0.4734 0.1465
1.2316 2.0 660 1.1385 0.5831 0.2662
1.1559 3.0 990 1.0708 0.6375 0.3607
1.1027 4.0 1320 1.0156 0.6637 0.4096
1.0688 5.0 1650 0.9840 0.6608 0.4077
1.0474 6.0 1980 0.9621 0.6709 0.4164
1.0314 7.0 2310 0.9583 0.6645 0.4103
1.0212 8.0 2640 0.9407 0.6745 0.4258
1.0097 9.0 2970 0.9329 0.6758 0.4305
1.0096 10.0 3300 0.9316 0.6755 0.4286
Framework versions
  • Transformers 4.57.1
  • Pytorch 2.6.0+cu124
  • Datasets 4.4.1
  • Tokenizers 0.22.1

Runs of phunganhsang multi_task_model_content on huggingface.co

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More Information About multi_task_model_content huggingface.co Model

More multi_task_model_content license Visit here:

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multi_task_model_content huggingface.co

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

multi_task_model_content huggingface.co Url

https://huggingface.co/phunganhsang/multi_task_model_content

phunganhsang multi_task_model_content online free

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

phunganhsang multi_task_model_content online free url in huggingface.co:

https://huggingface.co/phunganhsang/multi_task_model_content

multi_task_model_content install

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

multi_task_model_content install url in huggingface.co:

https://huggingface.co/phunganhsang/multi_task_model_content

Url of multi_task_model_content

multi_task_model_content huggingface.co Url

Provider of multi_task_model_content huggingface.co

phunganhsang
ORGANIZATIONS
huggingface.co

Other API from phunganhsang

 huggingface.co
phunganhsang/test

Total runs: 2
Run Growth: 1
Growth Rate: 50.00%
Updated:October 06 2025