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amirhamza11/Banglabert_nwp_finetuning_test1

sourceHugging Faceupdated 3y agoView on Hugging Face
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Banglabertnwpfinetuning_test1

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

  • —Loss: 4.1145

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: 2e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 50

Training results

Training LossEpochStepValidation Loss
No log1.04037.4663
7.97122.08066.5917
6.80713.012096.0256
6.03744.016125.6658
5.64715.020155.4585
5.64716.024185.2872
5.39127.028215.2068
5.19518.032244.9943
4.98639.036274.9361
4.863710.040305.0372
4.863711.044334.8487
4.739112.048364.7716
4.640613.052394.6486
4.553114.056424.6206
4.43815.060454.5695
4.43816.064484.5419
4.34917.068514.5311
4.289818.072544.5808
4.21519.076574.4420
4.147720.080604.4000
4.147721.084634.4062
4.097522.088664.4725
4.018123.092694.3565
3.986524.096724.2207
3.919625.0100754.2460
3.919626.0104784.2876
3.906927.0108814.2645
3.834928.0112844.2974
3.782429.0116874.3730
3.73630.0120904.2604
3.73631.0124934.3195
3.720232.0128964.1342
3.689733.0132994.3159
3.638834.0137024.1019
3.644835.0141054.1839
3.609936.0145084.1900
3.609937.0149114.0979
3.570838.0153144.1737
3.550239.0157174.1915
3.515940.0161204.1158
3.508641.0165234.0181
3.508642.0169264.1328
3.480843.0173294.0247
3.473344.0177324.1688
3.468145.0181354.1177
3.468946.0185384.1093
3.468947.0189414.1418
3.43448.0193444.0152
3.451349.0197474.1412
3.415850.0201504.1036

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3