Model save

README.md

@@ -3,6 +3,9 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: emotion-analysis-3000
   results: []
@@ -14,6 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 # emotion-analysis-3000
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3266
+- Accuracy: 0.8949
+- F1: 0.8947
 
 ## Model description
 
@@ -40,6 +47,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 232  | 0.2877          | 0.8938   | 0.8939 |
+| No log        | 2.0   | 464  | 0.2719          | 0.9091   | 0.9088 |
+| 0.2784        | 3.0   | 696  | 0.3090          | 0.9003   | 0.9003 |
+| 0.2784        | 4.0   | 928  | 0.3266          | 0.8949   | 0.8947 |
+
+
 ### Framework versions
 
 - Transformers 4.39.3