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pakawadeep/mt5-base-finetuned-ctfl

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

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pakawadeep/mt5-base-finetuned-ctfl

This model is a fine-tuned version of google/mt5-base on CTFL-GEC dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.3091
  • Validation Loss: 1.1147
  • Train Rouge1: 8.9816
  • Train Rouge2: 1.1881
  • Train Rougel: 8.8048
  • Train Rougelsum: 8.7871
  • Train Gen Len: 11.9604
  • Epoch: 27

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:

  • optimizer: {'name': 'AdamWeightDecay', 'learningrate': 2e-05, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weightdecay_rate': 0.01}
  • training_precision: float32

Training results

Train LossValidation LossTrain Rouge1Train Rouge2Train RougelTrain RougelsumTrain Gen LenEpoch
1.10671.03537.49651.68327.42577.390411.87620
0.95731.00107.99151.68327.92087.779311.91091
0.88581.00028.48662.17828.27448.274411.91582
0.84020.98278.48662.17828.27448.274411.95543
0.79000.99618.48662.17828.27448.274411.91584
0.76460.98988.48662.17828.27448.274411.95055
0.71900.98058.48662.17828.27448.274411.92086
0.70210.96838.48662.17828.27448.274411.94557
0.66130.97328.98162.17828.76948.875511.97038
0.64160.98078.48662.17828.27448.274411.95059
0.61390.97718.48662.17828.27448.274411.930710
0.58640.97238.48662.17828.27448.274411.950511
0.58440.99198.48662.17828.27448.274411.965312
0.56791.00978.48662.17828.27448.274411.930713
0.53290.99477.99151.18817.85017.779311.955414
0.51730.98778.20371.68328.06228.026911.950515
0.48230.99557.77931.18817.53187.531811.910916
0.46261.01067.99151.18817.85017.779311.970317
0.44971.00567.77931.18817.53187.531811.910918
0.42761.03417.77931.18817.53187.531811.891119
0.40561.04827.77931.18817.53187.531811.896020
0.40031.03658.23901.18817.99158.168311.935621
0.37741.06468.23901.18817.99158.168311.915822
0.36681.07138.23901.18817.99158.168311.915823
0.35391.07488.23901.18817.99158.168311.925724
0.33551.08598.03870.89117.92087.920811.866325
0.32471.09298.76941.18818.55738.557311.935626
0.30911.11478.98161.18818.80488.787111.960427

Framework versions

  • Transformers 4.38.2
  • TensorFlow 2.15.0
  • Datasets 2.18.0
  • Tokenizers 0.15.2