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mateiaassAI
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teacher_redv2

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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 Community
mateiaassAI commited on
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End of training

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  1. README.md +13 -13
  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: 0.2420
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- - F1: 0.6899
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- - Roc Auc: 0.7930
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- - Accuracy: 0.5893
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  ## Model description
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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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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | No log | 1.0 | 32 | 0.3813 | 0.0883 | 0.5266 | 0.0534 |
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- | No log | 2.0 | 64 | 0.3121 | 0.3984 | 0.6454 | 0.3002 |
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- | No log | 3.0 | 96 | 0.2747 | 0.5193 | 0.7091 | 0.4254 |
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- | No log | 4.0 | 128 | 0.2553 | 0.6183 | 0.7513 | 0.5212 |
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- | No log | 5.0 | 160 | 0.2459 | 0.6695 | 0.7799 | 0.5691 |
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- | No log | 6.0 | 192 | 0.2442 | 0.6854 | 0.7897 | 0.5856 |
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- | No log | 7.0 | 224 | 0.2420 | 0.6899 | 0.7930 | 0.5893 |
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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: 0.2782
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+ - F1: 0.6913
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+ - Roc Auc: 0.8098
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+ - Accuracy: 0.5764
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  ## Model description
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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: 16
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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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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | No log | 1.0 | 256 | 0.2588 | 0.6200 | 0.7477 | 0.5046 |
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+ | 0.2876 | 2.0 | 512 | 0.2415 | 0.6775 | 0.7939 | 0.5893 |
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+ | 0.2876 | 3.0 | 768 | 0.2473 | 0.6853 | 0.8021 | 0.5948 |
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+ | 0.146 | 4.0 | 1024 | 0.2523 | 0.6885 | 0.7969 | 0.5985 |
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+ | 0.146 | 5.0 | 1280 | 0.2655 | 0.6846 | 0.7975 | 0.5875 |
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+ | 0.083 | 6.0 | 1536 | 0.2778 | 0.6930 | 0.8110 | 0.5838 |
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+ | 0.083 | 7.0 | 1792 | 0.2782 | 0.6913 | 0.8098 | 0.5764 |
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  ### Framework versions
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