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End of training

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README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-03](https://huggingface.co/MiMe-MeMo/MeMo-BERT-03) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6065
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- - F1-score: 0.9098
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  ## Model description
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@@ -41,32 +41,22 @@ The following hyperparameters were used during training:
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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: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1-score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 69 | 0.3808 | 0.8439 |
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- | No log | 2.0 | 138 | 0.4234 | 0.8432 |
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- | No log | 3.0 | 207 | 0.4577 | 0.9013 |
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- | No log | 4.0 | 276 | 0.6278 | 0.8851 |
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- | No log | 5.0 | 345 | 0.6449 | 0.8517 |
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- | No log | 6.0 | 414 | 0.7495 | 0.8678 |
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- | No log | 7.0 | 483 | 0.6065 | 0.9098 |
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- | 0.1663 | 8.0 | 552 | 0.6217 | 0.9098 |
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- | 0.1663 | 9.0 | 621 | 0.6420 | 0.9098 |
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- | 0.1663 | 10.0 | 690 | 0.6514 | 0.9098 |
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- | 0.1663 | 11.0 | 759 | 0.6627 | 0.9098 |
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- | 0.1663 | 12.0 | 828 | 0.6726 | 0.9098 |
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- | 0.1663 | 13.0 | 897 | 0.6828 | 0.9016 |
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- | 0.1663 | 14.0 | 966 | 0.6904 | 0.9016 |
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- | 0.0001 | 15.0 | 1035 | 0.6942 | 0.9016 |
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- | 0.0001 | 16.0 | 1104 | 0.6976 | 0.9016 |
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- | 0.0001 | 17.0 | 1173 | 0.7007 | 0.9016 |
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- | 0.0001 | 18.0 | 1242 | 0.7027 | 0.9016 |
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- | 0.0001 | 19.0 | 1311 | 0.7038 | 0.9016 |
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- | 0.0001 | 20.0 | 1380 | 0.7037 | 0.9016 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-03](https://huggingface.co/MiMe-MeMo/MeMo-BERT-03) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2698
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+ - F1-score: 0.9344
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  ## Model description
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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-score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 69 | 0.2789 | 0.8934 |
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+ | No log | 2.0 | 138 | 0.3454 | 0.8839 |
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+ | No log | 3.0 | 207 | 0.2698 | 0.9344 |
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+ | No log | 4.0 | 276 | 0.4248 | 0.9262 |
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+ | No log | 5.0 | 345 | 0.5399 | 0.9097 |
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+ | No log | 6.0 | 414 | 0.5981 | 0.8933 |
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+ | No log | 7.0 | 483 | 0.6430 | 0.9013 |
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+ | 0.1618 | 8.0 | 552 | 0.6388 | 0.9096 |
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+ | 0.1618 | 9.0 | 621 | 0.6361 | 0.9096 |
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+ | 0.1618 | 10.0 | 690 | 0.6451 | 0.9096 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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