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fine_tuned_emBERT

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mehdie/fine_tuned_emBERT

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  1. README.md +12 -21
  2. model.safetensors +1 -1
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README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [morten-j/Mehdie_Extended-mBERT](https://huggingface.co/morten-j/Mehdie_Extended-mBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2002
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- - F1: 0.6452
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- - F5: 0.6077
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- - Precision: 0.7692
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- - Recall: 0.5556
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  ## Model description
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@@ -49,28 +49,19 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.2
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- - num_epochs: 15
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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 | F5 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|:------:|
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- | No log | 1.0 | 38 | 0.2621 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 2.0 | 76 | 0.2476 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 3.0 | 114 | 0.1800 | 0.4286 | 0.3683 | 0.75 | 0.3 |
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- | No log | 4.0 | 152 | 0.1379 | 0.6667 | 0.6962 | 0.6 | 0.75 |
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- | No log | 5.0 | 190 | 0.1873 | 0.5625 | 0.5135 | 0.75 | 0.45 |
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- | No log | 6.0 | 228 | 0.1763 | 0.6857 | 0.6502 | 0.8 | 0.6 |
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- | No log | 7.0 | 266 | 0.1394 | 0.7895 | 0.7739 | 0.8333 | 0.75 |
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- | No log | 8.0 | 304 | 0.1685 | 0.7027 | 0.6816 | 0.7647 | 0.65 |
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- | No log | 9.0 | 342 | 0.2521 | 0.6 | 0.5322 | 0.9 | 0.45 |
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- | No log | 10.0 | 380 | 0.1923 | 0.7179 | 0.7110 | 0.7368 | 0.7 |
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- | No log | 11.0 | 418 | 0.1680 | 0.7027 | 0.6816 | 0.7647 | 0.65 |
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- | No log | 12.0 | 456 | 0.2524 | 0.5625 | 0.5135 | 0.75 | 0.45 |
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- | No log | 13.0 | 494 | 0.1693 | 0.6667 | 0.6395 | 0.75 | 0.6 |
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- | 0.1001 | 14.0 | 532 | 0.1711 | 0.6667 | 0.6395 | 0.75 | 0.6 |
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- | 0.1001 | 15.0 | 570 | 0.2301 | 0.7222 | 0.6928 | 0.8125 | 0.65 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [morten-j/Mehdie_Extended-mBERT](https://huggingface.co/morten-j/Mehdie_Extended-mBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1441
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+ - F1: 0.7568
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+ - F5: 0.7196
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+ - Precision: 0.875
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+ - Recall: 0.6667
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.2
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+ - num_epochs: 6
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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 | F5 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 30 | 0.3540 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 2.0 | 60 | 0.2975 | 0.4348 | 0.4077 | 0.5263 | 0.3704 |
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+ | No log | 3.0 | 90 | 0.3550 | 0.45 | 0.3969 | 0.6923 | 0.3333 |
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+ | No log | 4.0 | 120 | 0.2962 | 0.5405 | 0.4598 | 1.0 | 0.3704 |
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+ | No log | 5.0 | 150 | 0.2629 | 0.5909 | 0.5437 | 0.7647 | 0.4815 |
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+ | No log | 6.0 | 180 | 0.2459 | 0.5778 | 0.5368 | 0.7222 | 0.4815 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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