cyttic / exp23-directfit-unfrozen

huggingface.co
Total runs: 142
24-hour runs: 1
7-day runs: 133
30-day runs: 95
Model's Last Updated: July 11 2026
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Introduction of exp23-directfit-unfrozen

Model Details of exp23-directfit-unfrozen

exp23-directfit-unfrozen

This model is a fine-tuned version of cyttic/exp22-exp2warm-directfit-frozen on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4588
  • Cer: 0.0245
  • Wer: 0.0647
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: 16
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 0.1
  • num_epochs: 1
Training results
Training Loss Epoch Step Validation Loss Cer Wer
1.2577 0.0424 2500 1.3378 0.1416 0.2986
1.0413 0.0848 5000 1.2441 0.1150 0.2561
0.8436 0.1272 7500 1.0854 0.0917 0.2106
0.7762 0.1696 10000 0.9314 0.0735 0.1700
0.7096 0.2120 12500 0.8954 0.0627 0.1534
0.6205 0.2544 15000 0.7907 0.0550 0.1378
0.5873 0.2968 17500 0.7408 0.0486 0.1215
0.5504 0.3392 20000 0.6894 0.0427 0.1112
0.4826 0.3816 22500 0.6537 0.0406 0.1042
0.5224 0.4240 25000 0.6245 0.0380 0.0965
0.4430 0.4664 27500 0.5866 0.0366 0.0933
0.4219 0.5088 30000 0.5724 0.0340 0.0873
0.3557 0.5512 32500 0.5586 0.0318 0.0849
0.3866 0.5936 35000 0.5399 0.0328 0.0845
0.3586 0.6360 37500 0.5267 0.0305 0.0793
0.4009 0.6784 40000 0.5082 0.0301 0.0769
0.3140 0.7208 42500 0.5011 0.0289 0.0740
0.3435 0.7632 45000 0.4874 0.0276 0.0725
0.3141 0.8056 47500 0.4807 0.0267 0.0691
0.3200 0.8480 50000 0.4738 0.0267 0.0687
0.3201 0.8904 52500 0.4682 0.0250 0.0664
0.3314 0.9328 55000 0.4633 0.0249 0.0652
0.3427 0.9752 57500 0.4604 0.0244 0.0648
0.3020 1.0 58962 0.4588 0.0245 0.0647
Framework versions
  • Transformers 5.12.1
  • Pytorch 2.11.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Runs of cyttic exp23-directfit-unfrozen on huggingface.co

142
Total runs
1
24-hour runs
6
3-day runs
133
7-day runs
95
30-day runs

More Information About exp23-directfit-unfrozen huggingface.co Model

exp23-directfit-unfrozen huggingface.co

exp23-directfit-unfrozen huggingface.co is an AI model on huggingface.co that provides exp23-directfit-unfrozen's model effect (), which can be used instantly with this cyttic exp23-directfit-unfrozen model. huggingface.co supports a free trial of the exp23-directfit-unfrozen model, and also provides paid use of the exp23-directfit-unfrozen. Support call exp23-directfit-unfrozen model through api, including Node.js, Python, http.

exp23-directfit-unfrozen huggingface.co Url

https://huggingface.co/cyttic/exp23-directfit-unfrozen

cyttic exp23-directfit-unfrozen online free

exp23-directfit-unfrozen huggingface.co is an online trial and call api platform, which integrates exp23-directfit-unfrozen's modeling effects, including api services, and provides a free online trial of exp23-directfit-unfrozen, you can try exp23-directfit-unfrozen online for free by clicking the link below.

cyttic exp23-directfit-unfrozen online free url in huggingface.co:

https://huggingface.co/cyttic/exp23-directfit-unfrozen

exp23-directfit-unfrozen install

exp23-directfit-unfrozen is an open source model from GitHub that offers a free installation service, and any user can find exp23-directfit-unfrozen on GitHub to install. At the same time, huggingface.co provides the effect of exp23-directfit-unfrozen install, users can directly use exp23-directfit-unfrozen installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

exp23-directfit-unfrozen install url in huggingface.co:

https://huggingface.co/cyttic/exp23-directfit-unfrozen

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