slplab / finetune_wo-cot_w-asd_text-features

huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: July 24 2024
text-generation

Introduction of finetune_wo-cot_w-asd_text-features

Model Details of finetune_wo-cot_w-asd_text-features

finetune_wo-cot_w-asd_text-features

This model is a fine-tuned version of EleutherAI/polyglot-ko-1.3b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 10.9030
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: 3e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss
11.1853 0.1290 1 11.1543
11.1521 0.2581 2 11.1445
11.1615 0.3871 3 11.1300
11.1717 0.5161 4 11.1126
11.1267 0.6452 5 11.0932
11.1213 0.7742 6 11.0731
11.0823 0.9032 7 11.0540
11.088 1.0323 8 11.0359
11.0309 1.1613 9 11.0184
11.0455 1.2903 10 11.0024
10.9991 1.4194 11 10.9867
11.0204 1.5484 12 10.9725
11.0199 1.6774 13 10.9594
10.9857 1.8065 14 10.9470
10.9623 1.9355 15 10.9367
10.9357 2.0645 16 10.9274
10.9516 2.1935 17 10.9194
10.9616 2.3226 18 10.9130
10.9376 2.4516 19 10.9079
10.9127 2.5806 20 10.9046
10.9437 2.7097 21 10.9030
Framework versions
  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Runs of slplab finetune_wo-cot_w-asd_text-features on huggingface.co

12
Total runs
0
24-hour runs
0
3-day runs
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7-day runs
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30-day runs

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

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Updated:September 07 2023