SaketR1 / fresh_qa_rm

huggingface.co
Total runs: 19
24-hour runs: 0
7-day runs: 2
30-day runs: 6
Model's Last Updated: November 25 2025
text-classification

Introduction of fresh_qa_rm

Model Details of fresh_qa_rm

fresh_qa_rm

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

  • Loss: 0.0239
  • Mse: 0.0239
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: 0.0001
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 30
Training results
Training Loss Epoch Step Validation Loss Mse
No log 1.0 3 1.2989 1.2989
No log 2.0 6 0.0577 0.0577
No log 3.0 9 0.0458 0.0458
0.2407 4.0 12 0.0442 0.0442
0.2407 5.0 15 0.0278 0.0278
0.2407 6.0 18 0.0348 0.0348
0.0264 7.0 21 0.0811 0.0811
0.0264 8.0 24 0.0363 0.0363
0.0264 9.0 27 0.0290 0.0290
0.0233 10.0 30 0.0430 0.0430
0.0233 11.0 33 0.0271 0.0271
0.0233 12.0 36 0.0376 0.0376
0.0233 13.0 39 0.0307 0.0307
0.0172 14.0 42 0.0260 0.0260
0.0172 15.0 45 0.0456 0.0456
0.0172 16.0 48 0.0326 0.0326
0.0186 17.0 51 0.0250 0.0250
0.0186 18.0 54 0.0275 0.0275
0.0186 19.0 57 0.0286 0.0286
0.0156 20.0 60 0.0234 0.0234
0.0156 21.0 63 0.0236 0.0236
0.0156 22.0 66 0.0315 0.0315
0.0156 23.0 69 0.0279 0.0279
0.0167 24.0 72 0.0243 0.0243
0.0167 25.0 75 0.0245 0.0245
0.0167 26.0 78 0.0272 0.0272
0.0126 27.0 81 0.0295 0.0295
0.0126 28.0 84 0.0274 0.0274
0.0126 29.0 87 0.0246 0.0246
0.0128 30.0 90 0.0239 0.0239
Framework versions
  • Transformers 4.57.1
  • Pytorch 2.9.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.22.1

Runs of SaketR1 fresh_qa_rm on huggingface.co

19
Total runs
0
24-hour runs
1
3-day runs
2
7-day runs
6
30-day runs

More Information About fresh_qa_rm huggingface.co Model

More fresh_qa_rm license Visit here:

https://choosealicense.com/licenses/mit

fresh_qa_rm huggingface.co

fresh_qa_rm huggingface.co is an AI model on huggingface.co that provides fresh_qa_rm's model effect (), which can be used instantly with this SaketR1 fresh_qa_rm model. huggingface.co supports a free trial of the fresh_qa_rm model, and also provides paid use of the fresh_qa_rm. Support call fresh_qa_rm model through api, including Node.js, Python, http.

fresh_qa_rm huggingface.co Url

https://huggingface.co/SaketR1/fresh_qa_rm

SaketR1 fresh_qa_rm online free

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

SaketR1 fresh_qa_rm online free url in huggingface.co:

https://huggingface.co/SaketR1/fresh_qa_rm

fresh_qa_rm install

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

fresh_qa_rm install url in huggingface.co:

https://huggingface.co/SaketR1/fresh_qa_rm

Url of fresh_qa_rm

fresh_qa_rm huggingface.co Url

Provider of fresh_qa_rm huggingface.co

SaketR1
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