adriansanz / 150524_15ep

huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: 3
30-day runs: 5
Model's Last Updated: May 16 2024
text-classification

Introduction of 150524_15ep

Model Details of 150524_15ep

080524_epoch_13

This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8371
  • Accuracy: 0.8151
  • Precision: 0.8509
  • Recall: 0.8151
  • F1: 0.8103
  • Ratio: 0.6597
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: 10
  • eval_batch_size: 2
  • seed: 47
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 20
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.06
  • lr_scheduler_warmup_steps: 4
  • num_epochs: 1
  • label_smoothing_factor: 0.1
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1 Ratio
0.3002 0.1176 10 0.8662 0.8151 0.8509 0.8151 0.8103 0.6597
0.3026 0.2353 20 0.7930 0.8277 0.8516 0.8277 0.8248 0.6303
0.2933 0.3529 30 0.7946 0.8277 0.8484 0.8277 0.8251 0.6218
0.2921 0.4706 40 0.8687 0.8151 0.8509 0.8151 0.8103 0.6597
0.2947 0.5882 50 0.8540 0.8109 0.8442 0.8109 0.8062 0.6555
0.3148 0.7059 60 0.8454 0.8151 0.8469 0.8151 0.8108 0.6513
0.3221 0.8235 70 0.8642 0.8151 0.8509 0.8151 0.8103 0.6597
0.316 0.9412 80 0.8389 0.8151 0.8509 0.8151 0.8103 0.6597
Framework versions
  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Runs of adriansanz 150524_15ep on huggingface.co

12
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More Information About 150524_15ep huggingface.co Model

More 150524_15ep license Visit here:

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150524_15ep huggingface.co

150524_15ep huggingface.co is an AI model on huggingface.co that provides 150524_15ep's model effect (), which can be used instantly with this adriansanz 150524_15ep model. huggingface.co supports a free trial of the 150524_15ep model, and also provides paid use of the 150524_15ep. Support call 150524_15ep model through api, including Node.js, Python, http.

adriansanz 150524_15ep online free

150524_15ep huggingface.co is an online trial and call api platform, which integrates 150524_15ep's modeling effects, including api services, and provides a free online trial of 150524_15ep, you can try 150524_15ep online for free by clicking the link below.

adriansanz 150524_15ep online free url in huggingface.co:

https://huggingface.co/adriansanz/150524_15ep

150524_15ep install

150524_15ep is an open source model from GitHub that offers a free installation service, and any user can find 150524_15ep on GitHub to install. At the same time, huggingface.co provides the effect of 150524_15ep install, users can directly use 150524_15ep installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

150524_15ep install url in huggingface.co:

https://huggingface.co/adriansanz/150524_15ep

Url of 150524_15ep

Provider of 150524_15ep huggingface.co

adriansanz
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