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gpt2-synth

Bainbridge / gpt2-synth

Run on huggingface.co
huggingface.co
Total runs: 9
24-hour runs: -1
7-day runs: -1
30-day runs: -8
Model's Last Updated: March 29 2023
text-generation

Introduction of gpt2-synth

Model Details of gpt2-synth

gpt2-synth

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

  • Loss: 0.1783
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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 4
  • seed: 21
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3.0
Training results
Training Loss Epoch Step Validation Loss
73.0212 0.02 10 65.7853
38.3819 0.04 20 20.2835
11.6035 0.07 30 9.2104
7.5582 0.09 40 3.6178
2.1601 0.11 50 1.5943
0.9769 0.13 60 0.9299
0.7577 0.15 70 0.6257
0.5434 0.18 80 0.4690
0.4756 0.2 90 0.5805
0.4247 0.22 100 0.3353
0.3179 0.24 110 0.2710
0.2476 0.26 120 0.2642
0.2604 0.29 130 0.2667
0.212 0.31 140 0.2723
0.2819 0.33 150 0.2356
0.2693 0.35 160 0.2283
0.2415 0.37 170 0.2297
0.2237 0.4 180 0.2207
0.2412 0.42 190 0.2204
0.2245 0.44 200 0.2191
0.2641 0.46 210 0.2112
0.22 0.48 220 0.2096
0.1912 0.51 230 0.2096
0.2152 0.53 240 0.2067
0.2497 0.55 250 0.2028
0.2042 0.57 260 0.2025
0.2263 0.59 270 0.2003
0.2047 0.62 280 0.1994
0.2081 0.64 290 0.1979
0.203 0.66 300 0.1954
0.1872 0.68 310 0.1954
0.1669 0.7 320 0.1958
0.1845 0.73 330 0.1935
0.1917 0.75 340 0.1913
0.2066 0.77 350 0.1880
0.1873 0.79 360 0.1880
0.1889 0.81 370 0.1867
0.2196 0.84 380 0.1853
0.2062 0.86 390 0.1848
0.1802 0.88 400 0.1836
0.1754 0.9 410 0.1828
0.1997 0.92 420 0.1813
0.2072 0.95 430 0.1790
0.19 0.97 440 0.1774
0.2208 0.99 450 0.1785
0.1706 1.01 460 0.1790
0.1534 1.03 470 0.1783
Framework versions
  • Transformers 4.24.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.6.1
  • Tokenizers 0.12.1

Runs of Bainbridge gpt2-synth on huggingface.co

9
Total runs
-1
24-hour runs
-2
3-day runs
-1
7-day runs
-8
30-day runs

More Information About gpt2-synth huggingface.co Model

More gpt2-synth license Visit here:

https://choosealicense.com/licenses/mit

gpt2-synth huggingface.co

gpt2-synth huggingface.co is an AI model on huggingface.co that provides gpt2-synth's model effect (), which can be used instantly with this Bainbridge gpt2-synth model. huggingface.co supports a free trial of the gpt2-synth model, and also provides paid use of the gpt2-synth. Support call gpt2-synth model through api, including Node.js, Python, http.

gpt2-synth huggingface.co Url

https://huggingface.co/Bainbridge/gpt2-synth

Bainbridge gpt2-synth online free

gpt2-synth huggingface.co is an online trial and call api platform, which integrates gpt2-synth's modeling effects, including api services, and provides a free online trial of gpt2-synth, you can try gpt2-synth online for free by clicking the link below.

Bainbridge gpt2-synth online free url in huggingface.co:

https://huggingface.co/Bainbridge/gpt2-synth

gpt2-synth install

gpt2-synth is an open source model from GitHub that offers a free installation service, and any user can find gpt2-synth on GitHub to install. At the same time, huggingface.co provides the effect of gpt2-synth install, users can directly use gpt2-synth installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

gpt2-synth install url in huggingface.co:

https://huggingface.co/Bainbridge/gpt2-synth

Url of gpt2-synth

Provider of gpt2-synth huggingface.co

Bainbridge
ORGANIZATIONS
huggingface.co

Other API from Bainbridge