afaji / fresh-2-layer-copa

huggingface.co
Total runs: 6
24-hour runs: 0
7-day runs: 1
30-day runs: -5
Model's Last Updated: March 12 2024
multiple-choice

Introduction of fresh-2-layer-copa

Model Details of fresh-2-layer-copa

fresh-2-layer-copa

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

  • Loss: 1.3801
  • Accuracy: 0.2980
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 63 1.3862 0.2071
No log 2.0 126 1.3862 0.2071
No log 3.0 189 1.3862 0.2525
No log 4.0 252 1.3862 0.2374
No log 5.0 315 1.3859 0.2626
No log 6.0 378 1.3863 0.2071
No log 7.0 441 1.3865 0.2778
0.6953 8.0 504 1.3861 0.2778
0.6953 9.0 567 1.3857 0.2071
0.6953 10.0 630 1.3859 0.2525
0.6953 11.0 693 1.3863 0.2475
0.6953 12.0 756 1.3863 0.2778
0.6953 13.0 819 1.3863 0.2576
0.6953 14.0 882 1.3834 0.2778
0.6953 15.0 945 1.3865 0.2576
0.6897 16.0 1008 1.3856 0.2677
0.6897 17.0 1071 1.3912 0.2273
0.6897 18.0 1134 1.3801 0.2980
0.6897 19.0 1197 1.3878 0.2020
0.6897 20.0 1260 1.3961 0.2525
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-copa on huggingface.co

6
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
-5
30-day runs

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

fresh-2-layer-copa huggingface.co

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

fresh-2-layer-copa huggingface.co Url

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

afaji fresh-2-layer-copa online free

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

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

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

fresh-2-layer-copa install

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

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

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

Url of fresh-2-layer-copa

fresh-2-layer-copa huggingface.co Url

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

afaji
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