Gwatk/10k_test3_nli_finetuned_canine_c

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10ktest3nlifinetunedcanine_c

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

• —Loss: 1.0990
• —Accuracy: 0.3247
• —F1 Weighted: 0.1591
• —Precision Weighted: 0.1054
• —Recall Weighted: 0.3247

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: 5e-05
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.27.2
• —Pytorch 2.0.0+cu117
• —Datasets 2.10.1
• —Tokenizers 0.13.2