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PontifexMaximus/mt5-small-parsinlu-opus-translation_fa_en-finetuned-fa-to-en

sourceHugging Facecc-by-nc-sa-4.0updated 4y agoView on Hugging Face
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Model Card

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mt5-small-parsinlu-opus-translationfaen-finetuned-fa-to-en

This model is a fine-tuned version of persiannlp/mt5-small-parsinlu-opus-translation_fa_en on the opus_infopankki dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.9193
  • —Bleu: 15.1329
  • —Gen Len: 13.4603

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-06
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 30
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossBleuGen Len
3.11821.018072.598510.644513.7938
2.83772.036142.379911.85213.6168
2.66443.054212.242612.87713.5768
2.52864.072282.152113.534213.5567
2.45235.090352.080114.035513.5387
2.40266.0108422.019714.428413.4956
2.3177.0126491.969114.777613.4325
2.31748.0144561.937315.18913.4261
2.33749.0162631.939315.114913.4087
2.313110.0180701.930415.065413.4234
2.29511.0198771.923915.10213.4443
2.301712.0216841.920315.167613.4575
2.315313.0234911.919315.132913.4603
2.293914.0252981.919315.132913.4603
2.324115.0271051.919315.132913.4603
2.337616.0289121.919315.132913.4603
2.285917.0307191.919315.132913.4603
2.301618.0325261.919315.132913.4603
2.310119.0343331.919315.132913.4603
2.308820.0361401.919315.132913.4603
2.283321.0379471.919315.132913.4603
2.298622.0397541.919315.132913.4603
2.325423.0415611.919315.132913.4603
2.316524.0433681.919315.132913.4603
2.28925.0451751.919315.132913.4603
2.321226.0469821.919315.132913.4603
2.290227.0487891.919315.132913.4603
2.302628.0505961.919315.132913.4603
2.294929.0524031.919315.132913.4603
2.315230.0542101.919315.132913.4603

Framework versions

  • —Transformers 4.19.2
  • —Pytorch 1.7.1+cu110
  • —Datasets 2.2.2
  • —Tokenizers 0.12.1