juancopi81 / bach_sweeps_best_model

huggingface.co
Total runs: 25
24-hour runs: 2
7-day runs: -9
30-day runs: -5
Model's Last Updated: February 11 2025
text-generation

Introduction of bach_sweeps_best_model

Model Details of bach_sweeps_best_model

output

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5751
  • Accuracy: 0.0021
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: 0.0006058454513356471
  • train_batch_size: 16
  • eval_batch_size: 32
  • seed: 1
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.01
  • num_epochs: 15
Training results
Training Loss Epoch Step Validation Loss Accuracy
1.2205 1.25 315 0.8209 0.0010
0.813 2.51 630 0.7684 0.0009
0.7645 3.76 945 0.7393 0.0008
0.7249 5.02 1260 0.6980 0.0007
0.6832 6.27 1575 0.6646 0.0003
0.6426 7.53 1890 0.6371 0.0019
0.6034 8.78 2205 0.6041 0.0020
0.564 10.04 2520 0.5897 0.0018
0.5253 11.29 2835 0.5857 0.0018
0.4961 12.55 3150 0.5771 0.0017
0.4752 13.8 3465 0.5751 0.0021
Framework versions
  • Transformers 4.29.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3

Runs of juancopi81 bach_sweeps_best_model on huggingface.co

25
Total runs
2
24-hour runs
-1
3-day runs
-9
7-day runs
-5
30-day runs

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bach_sweeps_best_model install

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

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Total runs: 13
Run Growth: -6
Growth Rate: -46.15%
Updated:March 22 2023