dianamihalache27 commited on
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End of training

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README.md CHANGED
@@ -19,14 +19,14 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6159
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- - Accuracy: 0.7133
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- - F1: 0.0
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- - Precision: 0.0
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- - Recall: 0.0
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- - Precision Sarcastic: 0.0
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- - Recall Sarcastic: 0.0
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- - F1 Sarcastic: 0.0
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  ## Model description
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@@ -45,7 +45,7 @@ More information needed
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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: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Precision Sarcastic | Recall Sarcastic | F1 Sarcastic |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:---------:|:------:|:-------------------:|:----------------:|:------------:|
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- | No log | 1.0 | 174 | 0.6001 | 0.7133 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 2.0 | 348 | 0.6180 | 0.7133 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.5547 | 3.0 | 522 | 0.6159 | 0.7133 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5247
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+ - Accuracy: 0.7565
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+ - F1: 0.3424
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+ - Precision: 0.7586
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+ - Recall: 0.2211
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+ - Precision Sarcastic: 0.7586
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+ - Recall Sarcastic: 0.2211
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+ - F1 Sarcastic: 0.3424
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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: 5e-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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Precision Sarcastic | Recall Sarcastic | F1 Sarcastic |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------------------:|:----------------:|:------------:|
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+ | No log | 1.0 | 174 | 0.6037 | 0.7133 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 2.0 | 348 | 0.6196 | 0.7133 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.5432 | 3.0 | 522 | 0.5247 | 0.7565 | 0.3424 | 0.7586 | 0.2211 | 0.7586 | 0.2211 | 0.3424 |
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  ### Framework versions
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