abyaugustinek commited on
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End of training

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README.md CHANGED
@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.9255
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- - Validation Loss: 1.4385
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  - Train Precision: 0.0
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  - Train Recall: 0.0
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  - Train F1: 0.0
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  - Train Accuracy: 0.6455
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- - Epoch: 0
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  ## Model description
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@@ -47,6 +47,8 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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  | 1.9255 | 1.4385 | 0.0 | 0.0 | 0.0 | 0.6455 | 0 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.3114
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+ - Validation Loss: 1.2332
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  - Train Precision: 0.0
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  - Train Recall: 0.0
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  - Train F1: 0.0
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  - Train Accuracy: 0.6455
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+ - Epoch: 2
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  ## Model description
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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  | 1.9255 | 1.4385 | 0.0 | 0.0 | 0.0 | 0.6455 | 0 |
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+ | 1.3828 | 1.2652 | 0.0 | 0.0 | 0.0 | 0.6455 | 1 |
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+ | 1.3114 | 1.2332 | 0.0 | 0.0 | 0.0 | 0.6455 | 2 |
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  ### Framework versions
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