afaji / fresh-2-layer-gpqa

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 1
30-day runs: 3
Model's Last Updated: March 10 2024
multiple-choice

Introduction of fresh-2-layer-gpqa

Model Details of fresh-2-layer-gpqa

fresh-2-layer-gpqa

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1303
  • Accuracy: 0.9798
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: 0.0005
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 321
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 20
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 13 1.3863 0.2424
No log 2.0 26 1.3861 0.2424
No log 3.0 39 1.3859 0.2475
No log 4.0 52 1.3857 0.2980
No log 5.0 65 1.3854 0.3232
No log 6.0 78 1.3846 0.2929
No log 7.0 91 1.3836 0.3434
No log 8.0 104 1.3776 0.4343
No log 9.0 117 1.3345 0.6010
No log 10.0 130 1.0517 0.6212
No log 11.0 143 0.7070 0.7475
No log 12.0 156 0.5129 0.8232
No log 13.0 169 0.3645 0.8636
No log 14.0 182 0.2729 0.9242
No log 15.0 195 0.2573 0.9495
No log 16.0 208 0.1570 0.9646
No log 17.0 221 0.1303 0.9798
No log 18.0 234 0.1164 0.9747
No log 19.0 247 0.1218 0.9545
No log 20.0 260 0.1037 0.9697
Framework versions
  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.14.0

Runs of afaji fresh-2-layer-gpqa on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
3
30-day runs

More Information About fresh-2-layer-gpqa huggingface.co Model

fresh-2-layer-gpqa huggingface.co

fresh-2-layer-gpqa huggingface.co is an AI model on huggingface.co that provides fresh-2-layer-gpqa's model effect (), which can be used instantly with this afaji fresh-2-layer-gpqa model. huggingface.co supports a free trial of the fresh-2-layer-gpqa model, and also provides paid use of the fresh-2-layer-gpqa. Support call fresh-2-layer-gpqa model through api, including Node.js, Python, http.

fresh-2-layer-gpqa huggingface.co Url

https://huggingface.co/afaji/fresh-2-layer-gpqa

afaji fresh-2-layer-gpqa online free

fresh-2-layer-gpqa huggingface.co is an online trial and call api platform, which integrates fresh-2-layer-gpqa's modeling effects, including api services, and provides a free online trial of fresh-2-layer-gpqa, you can try fresh-2-layer-gpqa online for free by clicking the link below.

afaji fresh-2-layer-gpqa online free url in huggingface.co:

https://huggingface.co/afaji/fresh-2-layer-gpqa

fresh-2-layer-gpqa install

fresh-2-layer-gpqa is an open source model from GitHub that offers a free installation service, and any user can find fresh-2-layer-gpqa on GitHub to install. At the same time, huggingface.co provides the effect of fresh-2-layer-gpqa install, users can directly use fresh-2-layer-gpqa installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

fresh-2-layer-gpqa install url in huggingface.co:

https://huggingface.co/afaji/fresh-2-layer-gpqa

Url of fresh-2-layer-gpqa

fresh-2-layer-gpqa huggingface.co Url

Provider of fresh-2-layer-gpqa huggingface.co

afaji
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