adriansanz / p1

huggingface.co
Total runs: 28
24-hour runs: 0
7-day runs: -3
30-day runs: 9
Model's Last Updated: April 22 2024
zero-shot-classification

Introduction of p1

Model Details of p1

p1

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

  • Loss: 0.8254
  • Accuracy: 0.5
  • Precision: 0.25
  • Recall: 0.5
  • F1: 0.3333
  • Ratio: 1.0
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: 16
  • eval_batch_size: 2
  • seed: 47
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • 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: 2
  • label_smoothing_factor: 0.1
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1 Ratio
0.8263 0.38 10 0.8199 0.5 0.5 0.5 0.3473 0.0163
0.8283 0.75 20 0.8389 0.5 0.25 0.5 0.3333 1.0
0.8167 1.13 30 0.8325 0.5 0.25 0.5 0.3333 1.0
0.8183 1.51 40 0.8228 0.4973 0.2493 0.4973 0.3321 0.9973
0.8178 1.89 50 0.8254 0.5 0.25 0.5 0.3333 1.0
Framework versions
  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.15.2

Runs of adriansanz p1 on huggingface.co

28
Total runs
0
24-hour runs
-4
3-day runs
-3
7-day runs
9
30-day runs

More Information About p1 huggingface.co Model

p1 huggingface.co

p1 huggingface.co is an AI model on huggingface.co that provides p1's model effect (), which can be used instantly with this adriansanz p1 model. huggingface.co supports a free trial of the p1 model, and also provides paid use of the p1. Support call p1 model through api, including Node.js, Python, http.

adriansanz p1 online free

p1 huggingface.co is an online trial and call api platform, which integrates p1's modeling effects, including api services, and provides a free online trial of p1, you can try p1 online for free by clicking the link below.

adriansanz p1 online free url in huggingface.co:

https://huggingface.co/adriansanz/p1

p1 install

p1 is an open source model from GitHub that offers a free installation service, and any user can find p1 on GitHub to install. At the same time, huggingface.co provides the effect of p1 install, users can directly use p1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

p1 install url in huggingface.co:

https://huggingface.co/adriansanz/p1

Url of p1

Provider of p1 huggingface.co

adriansanz
ORGANIZATIONS

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