End of training

README.md

@@ -19,14 +19,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7497
-- Accuracy: 0.7579
-- F1: 0.4247
-- Precision: 0.6667
+- Loss: 1.6051
+- Accuracy: 0.7507
+- F1: 0.4175
+- Precision: 0.6327
 - Recall: 0.3116
-- Precision Sarcastic: 0.6667
+- Precision Sarcastic: 0.6327
 - Recall Sarcastic: 0.3116
-- F1 Sarcastic: 0.4247
+- F1 Sarcastic: 0.4175
 
 ## Model description
 
@@ -45,7 +45,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -57,8 +57,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Precision Sarcastic | Recall Sarcastic | F1 Sarcastic |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------------------:|:----------------:|:------------:|
-| No log        | 1.0   | 174  | 1.8127          | 0.7608   | 0.4196 | 0.6897    | 0.3015 | 0.6897              | 0.3015           | 0.4196       |
-| No log        | 2.0   | 348  | 1.7497          | 0.7579   | 0.4247 | 0.6667    | 0.3116 | 0.6667              | 0.3116           | 0.4247       |
+| No log        | 1.0   | 174  | 1.6393          | 0.7392   | 0.4723 | 0.5625    | 0.4070 | 0.5625              | 0.4070           | 0.4723       |
+| No log        | 2.0   | 348  | 1.6051          | 0.7507   | 0.4175 | 0.6327    | 0.3116 | 0.6327              | 0.3116           | 0.4175       |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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