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Tommert25
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multibert_seed33_1311

Token Classification
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bert
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End of training

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  1. README.md +20 -20
  2. runs/Nov13_18-40-25_662d5402eed0/events.out.tfevents.1699901462.662d5402eed0.754.3 +3 -0
README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4996
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- - Precisions: 0.8590
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- - Recall: 0.8170
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- - F-measure: 0.8353
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- - Accuracy: 0.9359
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  ## Model description
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@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
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  - learning_rate: 7.5e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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- - seed: 33
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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: 14
@@ -53,20 +53,20 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
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- | 0.4674 | 1.0 | 236 | 0.2914 | 0.8891 | 0.6852 | 0.7119 | 0.9125 |
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- | 0.2266 | 2.0 | 472 | 0.2489 | 0.8410 | 0.7811 | 0.8044 | 0.9294 |
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- | 0.1394 | 3.0 | 708 | 0.2650 | 0.8611 | 0.7777 | 0.7929 | 0.9296 |
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- | 0.0878 | 4.0 | 944 | 0.2721 | 0.8608 | 0.8165 | 0.8324 | 0.9373 |
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- | 0.06 | 5.0 | 1180 | 0.3164 | 0.8457 | 0.7877 | 0.8105 | 0.9342 |
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- | 0.0378 | 6.0 | 1416 | 0.3793 | 0.8788 | 0.7972 | 0.8309 | 0.9335 |
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- | 0.0285 | 7.0 | 1652 | 0.3807 | 0.8665 | 0.7905 | 0.8233 | 0.9299 |
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- | 0.0153 | 8.0 | 1888 | 0.4636 | 0.8555 | 0.7855 | 0.8152 | 0.9303 |
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- | 0.0115 | 9.0 | 2124 | 0.4649 | 0.8336 | 0.8135 | 0.8190 | 0.9337 |
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- | 0.0064 | 10.0 | 2360 | 0.5120 | 0.8522 | 0.8010 | 0.8219 | 0.9325 |
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- | 0.0052 | 11.0 | 2596 | 0.5008 | 0.8616 | 0.8034 | 0.8288 | 0.9337 |
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- | 0.0038 | 12.0 | 2832 | 0.4807 | 0.8616 | 0.8133 | 0.8346 | 0.9354 |
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- | 0.0016 | 13.0 | 3068 | 0.4995 | 0.8514 | 0.8186 | 0.8322 | 0.9359 |
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- | 0.0012 | 14.0 | 3304 | 0.4996 | 0.8590 | 0.8170 | 0.8353 | 0.9359 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4745
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+ - Precisions: 0.8770
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+ - Recall: 0.8049
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+ - F-measure: 0.8343
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+ - Accuracy: 0.9364
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  ## Model description
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  - learning_rate: 7.5e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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+ - seed: 34
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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: 14
 
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  | Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
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+ | 0.4458 | 1.0 | 236 | 0.2719 | 0.8870 | 0.7002 | 0.7379 | 0.9144 |
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+ | 0.2302 | 2.0 | 472 | 0.2497 | 0.8728 | 0.7439 | 0.7647 | 0.9209 |
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+ | 0.139 | 3.0 | 708 | 0.2849 | 0.8797 | 0.7900 | 0.8231 | 0.9340 |
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+ | 0.0881 | 4.0 | 944 | 0.3292 | 0.8694 | 0.7757 | 0.8140 | 0.9296 |
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+ | 0.0539 | 5.0 | 1180 | 0.3674 | 0.8488 | 0.7775 | 0.8061 | 0.9272 |
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+ | 0.0382 | 6.0 | 1416 | 0.3497 | 0.8482 | 0.8083 | 0.8263 | 0.9356 |
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+ | 0.0266 | 7.0 | 1652 | 0.3809 | 0.8435 | 0.8162 | 0.8281 | 0.9366 |
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+ | 0.0187 | 8.0 | 1888 | 0.4222 | 0.8522 | 0.7840 | 0.8096 | 0.9303 |
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+ | 0.0133 | 9.0 | 2124 | 0.4423 | 0.8646 | 0.7878 | 0.8176 | 0.9356 |
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+ | 0.0085 | 10.0 | 2360 | 0.4632 | 0.8538 | 0.8005 | 0.8221 | 0.9342 |
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+ | 0.007 | 11.0 | 2596 | 0.4638 | 0.8632 | 0.8026 | 0.8281 | 0.9342 |
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+ | 0.0031 | 12.0 | 2832 | 0.4679 | 0.8720 | 0.8037 | 0.8303 | 0.9361 |
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+ | 0.0023 | 13.0 | 3068 | 0.4712 | 0.8644 | 0.8098 | 0.8327 | 0.9366 |
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+ | 0.0018 | 14.0 | 3304 | 0.4745 | 0.8770 | 0.8049 | 0.8343 | 0.9364 |
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  ### Framework versions
runs/Nov13_18-40-25_662d5402eed0/events.out.tfevents.1699901462.662d5402eed0.754.3 ADDED
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+ size 568