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codeparrot-ds2

cdreetz / codeparrot-ds2

Run on huggingface.co
huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: July 04 2023
text-generation

Introduction of codeparrot-ds2

Model Details of codeparrot-ds2

codeparrot-ds2

GPT-2 style trained on a filtered set of The Stack, specific to data science related code. Things like pandas, numpy, matplotlib, etc.

  • Loss: 1.0584
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: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 200
  • num_epochs: 1
Training results
Training Loss Epoch Step Validation Loss
2.2038 0.01 500 2.1062
2.0551 0.02 1000 2.0109
1.9622 0.02 1500 1.9219
1.9512 0.03 2000 1.8461
1.8817 0.04 2500 1.7903
1.8341 0.05 3000 1.7401
1.7877 0.05 3500 1.7022
1.7586 0.06 4000 1.6694
1.7271 0.07 4500 1.6457
1.7034 0.08 5000 1.6193
1.6756 0.08 5500 1.5978
1.6576 0.09 6000 1.5772
1.6377 0.1 6500 1.5611
1.6211 0.11 7000 1.5453
1.6033 0.11 7500 1.5317
1.591 0.12 8000 1.5193
1.5765 0.13 8500 1.5053
1.5661 0.14 9000 1.4966
1.5548 0.15 9500 1.4846
1.5429 0.15 10000 1.4729
1.5347 0.16 10500 1.4641
1.5215 0.17 11000 1.4557
1.5151 0.18 11500 1.4454
1.5059 0.18 12000 1.4381
1.499 0.19 12500 1.4288
1.4906 0.2 13000 1.4210
1.4849 0.21 13500 1.4143
1.4765 0.21 14000 1.4085
1.4708 0.22 14500 1.4026
1.4602 0.23 15000 1.3936
1.4533 0.24 15500 1.3896
1.4523 0.25 16000 1.3818
1.4415 0.25 16500 1.3748
1.4417 0.26 17000 1.3701
1.4311 0.27 17500 1.3645
1.4282 0.28 18000 1.3585
1.4223 0.28 18500 1.3531
1.4165 0.29 19000 1.3473
1.4105 0.3 19500 1.3419
1.3993 0.31 20000 1.3374
1.4034 0.31 20500 1.3322
1.3982 0.32 21000 1.3278
1.3951 0.33 21500 1.3225
1.3806 0.34 22000 1.3180
1.3781 0.34 22500 1.3121
1.3761 0.35 23000 1.3082
1.3662 0.36 23500 1.3038
1.3631 0.37 24000 1.2995
1.3549 0.38 24500 1.2955
1.3577 0.38 25000 1.2912
1.3498 0.39 25500 1.2851
1.3428 0.4 26000 1.2807
1.342 0.41 26500 1.2768
1.3365 0.41 27000 1.2720
1.3313 0.42 27500 1.2678
1.3309 0.43 28000 1.2629
1.3221 0.44 28500 1.2594
1.3214 0.44 29000 1.2558
1.3099 0.45 29500 1.2510
1.31 0.46 30000 1.2449
1.31 0.47 30500 1.2414
1.305 0.48 31000 1.2390
1.2975 0.48 31500 1.2358
1.2882 0.49 32000 1.2311
1.2831 0.5 32500 1.2251
1.2836 0.51 33000 1.2212
1.2817 0.51 33500 1.2178
1.2772 0.52 34000 1.2130
1.2651 0.53 34500 1.2080
1.2683 0.54 35000 1.2048
1.2581 0.54 35500 1.1999
1.263 0.55 36000 1.1972
1.255 0.56 36500 1.1924
1.2466 0.57 37000 1.1884
1.2448 0.57 37500 1.1860
1.2413 0.58 38000 1.1804
1.2362 0.59 38500 1.1782
1.2309 0.6 39000 1.1732
1.2289 0.61 39500 1.1687
1.2208 0.61 40000 1.1649
1.2225 0.62 40500 1.1605
1.2178 0.63 41000 1.1555
1.208 0.64 41500 1.1533
1.2069 0.64 42000 1.1490
1.206 0.65 42500 1.1453
1.2013 0.66 43000 1.1414
1.2003 0.67 43500 1.1374
1.1867 0.67 44000 1.1337
1.187 0.68 44500 1.1302
1.188 0.69 45000 1.1270
1.179 0.7 45500 1.1237
1.1866 0.71 46000 1.1204
1.173 0.71 46500 1.1173
1.1706 0.72 47000 1.1134
1.1645 0.73 47500 1.1099
1.1641 0.74 48000 1.1063
1.1623 0.74 48500 1.1032
1.1561 0.75 49000 1.1006
1.1531 0.76 49500 1.0977
1.1569 0.77 50000 1.0950
1.1505 0.77 50500 1.0927
1.1473 0.78 51000 1.0902
1.1428 0.79 51500 1.0870
1.1412 0.8 52000 1.0844
1.1452 0.8 52500 1.0823
1.1391 0.81 53000 1.0805
1.1329 0.82 53500 1.0783
1.1295 0.83 54000 1.0764
1.125 0.84 54500 1.0746
1.1295 0.84 55000 1.0730
1.1247 0.85 55500 1.0711
1.1225 0.86 56000 1.0696
1.1235 0.87 56500 1.0680
1.1192 0.87 57000 1.0670
1.1189 0.88 57500 1.0654
1.1196 0.89 58000 1.0646
1.1152 0.9 58500 1.0635
1.1133 0.9 59000 1.0628
1.1126 0.91 59500 1.0619
1.1142 0.92 60000 1.0610
1.1112 0.93 60500 1.0605
1.1137 0.93 61000 1.0599
1.1127 0.94 61500 1.0595
1.1111 0.95 62000 1.0592
1.1121 0.96 62500 1.0588
1.1114 0.97 63000 1.0587
1.1121 0.97 63500 1.0585
1.1078 0.98 64000 1.0584
1.1104 0.99 64500 1.0584
1.1057 1.0 65000 1.0584
Framework versions
  • Transformers 4.30.2
  • Pytorch 1.13.1
  • Datasets 2.13.1
  • Tokenizers 0.13.3

Runs of cdreetz codeparrot-ds2 on huggingface.co

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

More Information About codeparrot-ds2 huggingface.co Model

More codeparrot-ds2 license Visit here:

https://choosealicense.com/licenses/mit

codeparrot-ds2 huggingface.co

codeparrot-ds2 huggingface.co is an AI model on huggingface.co that provides codeparrot-ds2's model effect (), which can be used instantly with this cdreetz codeparrot-ds2 model. huggingface.co supports a free trial of the codeparrot-ds2 model, and also provides paid use of the codeparrot-ds2. Support call codeparrot-ds2 model through api, including Node.js, Python, http.

codeparrot-ds2 huggingface.co Url

https://huggingface.co/cdreetz/codeparrot-ds2

cdreetz codeparrot-ds2 online free

codeparrot-ds2 huggingface.co is an online trial and call api platform, which integrates codeparrot-ds2's modeling effects, including api services, and provides a free online trial of codeparrot-ds2, you can try codeparrot-ds2 online for free by clicking the link below.

cdreetz codeparrot-ds2 online free url in huggingface.co:

https://huggingface.co/cdreetz/codeparrot-ds2

codeparrot-ds2 install

codeparrot-ds2 is an open source model from GitHub that offers a free installation service, and any user can find codeparrot-ds2 on GitHub to install. At the same time, huggingface.co provides the effect of codeparrot-ds2 install, users can directly use codeparrot-ds2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

codeparrot-ds2 install url in huggingface.co:

https://huggingface.co/cdreetz/codeparrot-ds2

Url of codeparrot-ds2

codeparrot-ds2 huggingface.co Url

Provider of codeparrot-ds2 huggingface.co

cdreetz
ORGANIZATIONS
huggingface.co

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