adriansanz / intent_analysis_2labels

huggingface.co
Total runs: 10
24-hour runs: 1
7-day runs: 2
30-day runs: 1
Model's Last Updated: November 14 2024
text-classification

Introduction of intent_analysis_2labels

Model Details of intent_analysis_2labels

intent_analysis

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0083
  • Accuracy: 0.9990
  • Precision: 0.9990
  • Recall: 0.9990
  • F1: 0.9990
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: 32
  • eval_batch_size: 32
  • seed: 42
  • 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_ratio: 0.1
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
No log 1.0 76 0.0166 0.9971 0.9971 0.9971 0.9971
No log 2.0 152 0.0074 0.9990 0.9990 0.9990 0.9990
No log 3.0 228 0.0083 0.9990 0.9990 0.9990 0.9990
Framework versions
  • Transformers 4.46.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of adriansanz intent_analysis_2labels on huggingface.co

10
Total runs
1
24-hour runs
2
3-day runs
2
7-day runs
1
30-day runs

More Information About intent_analysis_2labels huggingface.co Model

More intent_analysis_2labels license Visit here:

https://choosealicense.com/licenses/mit

intent_analysis_2labels huggingface.co

intent_analysis_2labels huggingface.co is an AI model on huggingface.co that provides intent_analysis_2labels's model effect (), which can be used instantly with this adriansanz intent_analysis_2labels model. huggingface.co supports a free trial of the intent_analysis_2labels model, and also provides paid use of the intent_analysis_2labels. Support call intent_analysis_2labels model through api, including Node.js, Python, http.

intent_analysis_2labels huggingface.co Url

https://huggingface.co/adriansanz/intent_analysis_2labels

adriansanz intent_analysis_2labels online free

intent_analysis_2labels huggingface.co is an online trial and call api platform, which integrates intent_analysis_2labels's modeling effects, including api services, and provides a free online trial of intent_analysis_2labels, you can try intent_analysis_2labels online for free by clicking the link below.

adriansanz intent_analysis_2labels online free url in huggingface.co:

https://huggingface.co/adriansanz/intent_analysis_2labels

intent_analysis_2labels install

intent_analysis_2labels is an open source model from GitHub that offers a free installation service, and any user can find intent_analysis_2labels on GitHub to install. At the same time, huggingface.co provides the effect of intent_analysis_2labels install, users can directly use intent_analysis_2labels installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

intent_analysis_2labels install url in huggingface.co:

https://huggingface.co/adriansanz/intent_analysis_2labels

Url of intent_analysis_2labels

intent_analysis_2labels huggingface.co Url

Provider of intent_analysis_2labels huggingface.co

adriansanz
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