gokuls / model_v1_complete_training_wt_init_48_mini

huggingface.co
Total runs: 19
24-hour runs: 0
7-day runs: 5
30-day runs: 12
Model's Last Updated: June 24 2023
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Introduction of model_v1_complete_training_wt_init_48_mini

Model Details of model_v1_complete_training_wt_init_48_mini

model_v1_complete_training_wt_init_48_mini

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7920
  • Accuracy: 0.4992
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: 1e-05
  • train_batch_size: 48
  • eval_batch_size: 48
  • seed: 10
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10000
  • num_epochs: 25
Training results
Training Loss Epoch Step Validation Loss Accuracy
5.9411 0.25 30000 5.8833 0.1518
5.6408 0.49 60000 5.5265 0.1908
4.5385 0.74 90000 4.3133 0.3138
4.1015 0.98 120000 3.8996 0.3583
3.9119 1.23 150000 3.7199 0.3783
3.7832 1.47 180000 3.6039 0.3920
3.6686 1.72 210000 3.5057 0.4033
3.5793 1.97 240000 3.4227 0.4137
3.5128 2.21 270000 3.3645 0.4209
3.4597 2.46 300000 3.3219 0.4261
3.4263 2.7 330000 3.2841 0.4312
3.3909 2.95 360000 3.2547 0.4348
3.3635 3.2 390000 3.2284 0.4379
3.3488 3.44 420000 3.2060 0.4409
3.3239 3.69 450000 3.1872 0.4436
3.3062 3.93 480000 3.1660 0.4462
3.2841 4.18 510000 3.1493 0.4485
3.2663 4.42 540000 3.1355 0.4503
3.259 4.67 570000 3.1229 0.4519
3.2429 4.92 600000 3.1096 0.4535
3.2234 5.16 630000 3.0947 0.4554
3.2115 5.41 660000 3.0818 0.4573
3.2011 5.65 690000 3.0685 0.4590
3.1898 5.9 720000 3.0464 0.4619
3.1651 6.14 750000 3.0226 0.4658
3.1477 6.39 780000 3.0025 0.4689
3.1276 6.64 810000 2.9838 0.4718
3.1102 6.88 840000 2.9690 0.4740
3.1046 7.13 870000 2.9563 0.4757
3.0817 7.37 900000 2.9477 0.4771
3.0813 7.62 930000 2.9397 0.4785
3.0709 7.87 960000 2.9259 0.4804
3.0528 8.11 990000 2.9208 0.4812
3.0541 8.36 1020000 2.9089 0.4829
3.0469 8.6 1050000 2.9015 0.4839
3.0377 8.85 1080000 2.8960 0.4848
3.0284 9.09 1110000 2.8859 0.4861
3.0224 9.34 1140000 2.8819 0.4867
3.019 9.59 1170000 2.8731 0.4878
3.0094 9.83 1200000 2.8687 0.4885
3.0065 10.08 1230000 2.8635 0.4893
2.9983 10.32 1260000 2.8561 0.4900
2.9834 10.57 1290000 2.8524 0.4907
2.9873 10.81 1320000 2.8484 0.4911
2.978 11.06 1350000 2.8414 0.4924
2.9709 11.31 1380000 2.8375 0.4927
2.9695 11.55 1410000 2.8353 0.4932
2.9607 11.8 1440000 2.8290 0.4941
2.9636 12.04 1470000 2.8267 0.4944
2.9584 12.29 1500000 2.8247 0.4946
2.9546 12.54 1530000 2.8196 0.4951
2.9544 12.78 1560000 2.8146 0.4959
2.9486 13.03 1590000 2.8132 0.4964
2.9413 13.27 1620000 2.8099 0.4967
2.9381 13.52 1650000 2.8081 0.4968
2.9389 13.76 1680000 2.8057 0.4973
2.9374 14.01 1710000 2.8028 0.4977
2.9341 14.26 1740000 2.8000 0.4978
2.9275 14.5 1770000 2.7978 0.4984
2.9319 14.75 1800000 2.7947 0.4989
2.9304 14.99 1830000 2.7920 0.4992
Framework versions
  • Transformers 4.30.2
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.13.0
  • Tokenizers 0.13.3

Runs of gokuls model_v1_complete_training_wt_init_48_mini on huggingface.co

19
Total runs
0
24-hour runs
3
3-day runs
5
7-day runs
12
30-day runs

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