adriansanz / ModeloFT1-v1

huggingface.co
Total runs: 7
24-hour runs: 1
7-day runs: 1
30-day runs: 3
Model's Last Updated: April 22 2024
text-classification

Introduction of ModeloFT1-v1

Model Details of ModeloFT1-v1

stocks

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: 0.6639
  • Accuracy: 0.7637
  • Precision: 0.5304
  • Recall: 0.4710
  • F1: 0.4778
  • Ratio: 0.7903
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: 42
  • 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
0.8468 0.07 10 0.8350 0.6185 0.3093 0.5 0.3822 1.0
0.7922 0.14 20 0.8314 0.6185 0.3093 0.5 0.3822 1.0
0.8005 0.21 30 0.8059 0.6169 0.2060 0.3325 0.2544 0.9984
0.8038 0.28 40 0.7907 0.6185 0.3093 0.5 0.3822 1.0
0.7846 0.34 50 0.8060 0.6185 0.3093 0.5 0.3822 1.0
0.7539 0.41 60 0.7573 0.6274 0.5024 0.3422 0.2763 0.9847
0.725 0.48 70 0.8018 0.7435 0.4978 0.4906 0.4940 0.5847
0.6842 0.55 80 0.8437 0.7419 0.5035 0.4795 0.4901 0.6444
0.7415 0.62 90 0.7783 0.7468 0.5006 0.4832 0.4909 0.6444
0.6303 0.69 100 0.7194 0.7452 0.5009 0.4723 0.4808 0.7040
0.6844 0.76 110 0.7137 0.7702 0.5106 0.4996 0.5044 0.6468
0.699 0.83 120 0.6666 0.7806 0.5159 0.5039 0.5084 0.6653
0.7229 0.9 130 0.6636 0.7629 0.5233 0.4730 0.4799 0.775
0.6555 0.97 140 0.6646 0.7637 0.5312 0.4707 0.4775 0.7919
Framework versions
  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.15.2

Runs of adriansanz ModeloFT1-v1 on huggingface.co

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

More Information About ModeloFT1-v1 huggingface.co Model

More ModeloFT1-v1 license Visit here:

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

ModeloFT1-v1 huggingface.co

ModeloFT1-v1 huggingface.co is an AI model on huggingface.co that provides ModeloFT1-v1's model effect (), which can be used instantly with this adriansanz ModeloFT1-v1 model. huggingface.co supports a free trial of the ModeloFT1-v1 model, and also provides paid use of the ModeloFT1-v1. Support call ModeloFT1-v1 model through api, including Node.js, Python, http.

adriansanz ModeloFT1-v1 online free

ModeloFT1-v1 huggingface.co is an online trial and call api platform, which integrates ModeloFT1-v1's modeling effects, including api services, and provides a free online trial of ModeloFT1-v1, you can try ModeloFT1-v1 online for free by clicking the link below.

adriansanz ModeloFT1-v1 online free url in huggingface.co:

https://huggingface.co/adriansanz/ModeloFT1-v1

ModeloFT1-v1 install

ModeloFT1-v1 is an open source model from GitHub that offers a free installation service, and any user can find ModeloFT1-v1 on GitHub to install. At the same time, huggingface.co provides the effect of ModeloFT1-v1 install, users can directly use ModeloFT1-v1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

ModeloFT1-v1 install url in huggingface.co:

https://huggingface.co/adriansanz/ModeloFT1-v1

Url of ModeloFT1-v1

ModeloFT1-v1 huggingface.co Url

Provider of ModeloFT1-v1 huggingface.co

adriansanz
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