Studying Impact of Batch Size and Mixed Precision
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This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted f1 | Micro f1 | Macro f1 | Weighted recall | Micro recall | Macro recall | Weighted precision | Micro precision | Macro precision |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0.2777 | 1.0 | 83 | 0.0230 | 0.9947 | 0.9947 | 0.9947 | 0.9946 | 0.9947 | 0.9947 | 0.9946 | 0.9947 | 0.9947 | 0.9946 |
0.0189 | 2.0 | 166 | 0.0132 | 0.9985 | 0.9985 | 0.9985 | 0.9984 | 0.9985 | 0.9985 | 0.9984 | 0.9985 | 0.9985 | 0.9985 |
0.0054 | 3.0 | 249 | 0.0084 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 |
0.0027 | 4.0 | 332 | 0.0078 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 |
0.0022 | 5.0 | 415 | 0.0084 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 | 0.9985 |