ledigajobb / relevant_profession

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 2
30-day runs: -3
Model's Last Updated: June 13 2024

Introduction of relevant_profession

Model Details of relevant_profession

relevant_profession

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: 0.8640
  • Acc At K: 0.9666
  • Acc: 0.7152
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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 8
Training results
Training Loss Epoch Step Validation Loss Acc At K Acc
3.6523 0.5 18304 2.1025 0.8154 0.5818
1.7365 1.0 36608 1.4014 0.9097 0.6590
1.2636 1.5 54912 1.1711 0.9350 0.6845
1.092 2.0 73216 1.0605 0.9473 0.6931
0.9662 2.5 91520 1.0046 0.9533 0.7012
0.9233 3.0 109824 0.9643 0.9573 0.7025
0.8521 3.5 128128 0.9436 0.9594 0.7060
0.8334 4.0 146432 0.9189 0.9616 0.7078
0.7845 4.5 164736 0.9082 0.9631 0.7091
0.7754 5.0 183040 0.8953 0.9639 0.7105
0.7355 5.5 201344 0.8907 0.9646 0.7108
0.7334 6.0 219648 0.8795 0.9649 0.7124
0.6991 6.5 237952 0.8772 0.9657 0.7132
0.7001 7.0 256256 0.8670 0.9662 0.7129
0.674 7.5 274560 0.8667 0.9664 0.7149
0.672 8.0 292864 0.8640 0.9666 0.7152
Framework versions
  • Transformers 4.26.1
  • Pytorch 2.0.0+cu117
  • Datasets 2.11.0
  • Tokenizers 0.13.3

Runs of ledigajobb relevant_profession on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
-3
30-day runs

More Information About relevant_profession huggingface.co Model

More relevant_profession license Visit here:

https://choosealicense.com/licenses/mit

relevant_profession huggingface.co

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

relevant_profession huggingface.co Url

https://huggingface.co/ledigajobb/relevant_profession

ledigajobb relevant_profession online free

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

ledigajobb relevant_profession online free url in huggingface.co:

https://huggingface.co/ledigajobb/relevant_profession

relevant_profession install

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

relevant_profession install url in huggingface.co:

https://huggingface.co/ledigajobb/relevant_profession

Url of relevant_profession

relevant_profession huggingface.co Url

Provider of relevant_profession huggingface.co

ledigajobb
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