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siddharth2050/my_French_Dyula_t5_small_model

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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myFrenchDyulat5small_model

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.8634
  • —Bleu: 0.006
  • —Gen Len: 15.3039

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
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossBleuGen Len
No log1.02532.93810.003715.5806
3.14982.05062.92020.003915.5221
3.14983.07592.90530.004715.4942
3.12284.010122.89310.004715.6193
3.12285.012652.88400.004915.3963
3.10216.015182.87590.004915.412
3.10217.017712.87050.005115.3651
3.09138.020242.86650.005215.3372
3.09139.022772.86410.00615.3338
3.078510.025302.86340.00615.3039

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.4.0
  • —Datasets 2.21.0
  • —Tokenizers 0.19.1