End of training

README.md

@@ -3,6 +3,9 @@ license: mit
 base_model: roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: roberta-base_disaster_tweets
   results: []
@@ -15,7 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4884
+- Loss: 0.4446
+- Accuracy: 0.8262
+- F1: 0.8219
 
 ## Model description
 
@@ -34,29 +39,27 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.5065        | 1.0   | 667  | 0.5845          |
-| 0.6939        | 2.0   | 1334 | 0.5068          |
-| 0.5018        | 3.0   | 2001 | 0.4925          |
-| 0.4037        | 4.0   | 2668 | 0.5137          |
-| 0.498         | 5.0   | 3335 | 0.4884          |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.4209        | 1.0   | 667  | 0.4367          | 0.8306   | 0.8269 |
+| 0.5695        | 2.0   | 1334 | 0.5604          | 0.8087   | 0.8093 |
+| 0.3804        | 3.0   | 2001 | 0.6302          | 0.8301   | 0.8294 |
 
 
 ### Framework versions
 
-- Transformers 4.40.2
+- Transformers 4.41.0
 - Pytorch 2.2.1+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

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