End of training

README.md

@@ -3,11 +3,6 @@ license: mit
 base_model: roberta-base
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
-- precision
-- recall
 model-index:
 - name: results
   results: []
@@ -19,12 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # results
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.2762
-- Accuracy: 0.7751
-- F1: 0.5205
-- Precision: 0.5180
-- Recall: 0.5235
 
 ## Model description
 
@@ -43,23 +32,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.0829        | 1.0   | 612  | 1.0975          | 0.7771   | 0.6970 | 0.6937    | 0.7030 |
-| 0.0937        | 2.0   | 1224 | 1.2088          | 0.7800   | 0.5233 | 0.5252    | 0.5219 |
-| 0.0626        | 3.0   | 1836 | 1.2762          | 0.7751   | 0.5205 | 0.5180    | 0.5235 |
-
-
 ### Framework versions
 
 - Transformers 4.40.1

training_args.bin

@@ -1,3 +1,3 @@
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