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End of training

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  1. README.md +17 -14
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dumitrescustefan/bert-base-romanian-cased-v1](https://huggingface.co/dumitrescustefan/bert-base-romanian-cased-v1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2801
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- - F1: 0.5082
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- - Roc Auc: 0.6987
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- - Accuracy: 0.4107
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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  - train_batch_size: 128
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- - eval_batch_size: 16
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  - seed: 42
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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: 7
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | No log | 1.0 | 32 | 0.4216 | 0.0 | 0.5 | 0.0 |
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- | No log | 2.0 | 64 | 0.3749 | 0.0770 | 0.5273 | 0.0460 |
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- | No log | 3.0 | 96 | 0.3358 | 0.2623 | 0.5907 | 0.1768 |
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- | No log | 4.0 | 128 | 0.3070 | 0.4103 | 0.6528 | 0.3131 |
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- | No log | 5.0 | 160 | 0.2903 | 0.4629 | 0.6811 | 0.3738 |
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- | No log | 6.0 | 192 | 0.2831 | 0.4937 | 0.6923 | 0.3959 |
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- | No log | 7.0 | 224 | 0.2801 | 0.5082 | 0.6987 | 0.4107 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [dumitrescustefan/bert-base-romanian-cased-v1](https://huggingface.co/dumitrescustefan/bert-base-romanian-cased-v1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2460
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+ - F1: 0.6924
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+ - Roc Auc: 0.8005
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+ - Accuracy: 0.5967
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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  - train_batch_size: 128
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+ - eval_batch_size: 128
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  - seed: 42
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | No log | 1.0 | 32 | 0.3874 | 0.0317 | 0.5090 | 0.0147 |
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+ | No log | 2.0 | 64 | 0.3179 | 0.3614 | 0.6333 | 0.2597 |
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+ | No log | 3.0 | 96 | 0.2706 | 0.5534 | 0.7215 | 0.4512 |
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+ | No log | 4.0 | 128 | 0.2541 | 0.6257 | 0.7549 | 0.5267 |
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+ | No log | 5.0 | 160 | 0.2448 | 0.6575 | 0.7748 | 0.5562 |
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+ | No log | 6.0 | 192 | 0.2433 | 0.6745 | 0.7835 | 0.5746 |
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+ | No log | 7.0 | 224 | 0.2451 | 0.6837 | 0.7963 | 0.5875 |
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+ | No log | 8.0 | 256 | 0.2451 | 0.6752 | 0.7885 | 0.5875 |
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+ | No log | 9.0 | 288 | 0.2452 | 0.6845 | 0.7939 | 0.5930 |
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+ | No log | 10.0 | 320 | 0.2460 | 0.6924 | 0.8005 | 0.5967 |
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  ### Framework versions
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