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dtorber
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bert-base-cased

Text Classification
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bert
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  1. README.md +14 -12
  2. runs/Apr06_15-16-57_tardis/events.out.tfevents.1712409734.tardis.12350.1 +3 -0
README.md CHANGED
@@ -18,14 +18,14 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3765
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- - F1 Macro: 0.8988
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- - F1: 0.9360
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- - F1 Neg: 0.8617
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- - Acc: 0.9125
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- - Prec: 0.9209
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- - Recall: 0.9517
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- - Mcc: 0.7989
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  ## Model description
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@@ -51,16 +51,18 @@ The following hyperparameters were used during training:
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  - distributed_type: multi-GPU
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
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- | 0.5022 | 1.0 | 824 | 0.4717 | 0.8752 | 0.9102 | 0.8403 | 0.885 | 0.9102 | 0.9102 | 0.7504 |
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- | 0.3452 | 2.0 | 1648 | 0.4330 | 0.8882 | 0.9245 | 0.8519 | 0.9 | 0.8942 | 0.9570 | 0.7808 |
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- | 0.2232 | 3.0 | 2472 | 0.5604 | 0.8652 | 0.9060 | 0.8244 | 0.8775 | 0.8906 | 0.9219 | 0.7314 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5296
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+ - F1 Macro: 0.8934
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+ - F1: 0.9286
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+ - F1 Neg: 0.8582
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+ - Acc: 0.905
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+ - Prec: 0.9392
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+ - Recall: 0.9182
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+ - Mcc: 0.7873
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  ## Model description
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  - distributed_type: multi-GPU
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
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+ | No log | 1.0 | 412 | 0.2731 | 0.8775 | 0.9167 | 0.8382 | 0.89 | 0.8897 | 0.9453 | 0.7583 |
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+ | 0.405 | 2.0 | 824 | 0.3386 | 0.8985 | 0.9287 | 0.8683 | 0.9075 | 0.9163 | 0.9414 | 0.7977 |
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+ | 0.2032 | 3.0 | 1236 | 0.4326 | 0.8975 | 0.9295 | 0.8655 | 0.9075 | 0.9071 | 0.9531 | 0.7973 |
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+ | 0.1053 | 4.0 | 1648 | 0.5350 | 0.8995 | 0.9279 | 0.8711 | 0.9075 | 0.9261 | 0.9297 | 0.7990 |
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+ | 0.0489 | 5.0 | 2060 | 0.5505 | 0.9049 | 0.9318 | 0.8780 | 0.9125 | 0.9300 | 0.9336 | 0.8098 |
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  ### Framework versions
runs/Apr06_15-16-57_tardis/events.out.tfevents.1712409734.tardis.12350.1 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0588901dddb4421b3bf07bcae24c825930e99db3f188e6e1fa572344841b7a7d
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+ size 699