End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: distilbert/distilbert-base-uncased-finetuned-sst-2-english
 tags:
 - generated_from_trainer
 metrics:
@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetuning-sentiment-analysis-model-team-28
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6302
-- Accuracy: 0.7186
-- F1: 0.8276
+- Loss: 0.4948
+- Accuracy: 0.7686
+- F1: 0.8691
 
 ## Model description
 
@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.4621        | 1.0   | 175  | 0.5107          | 0.7843   | 0.8763 |
-| 0.4787        | 2.0   | 350  | 0.6382          | 0.7743   | 0.8715 |
-| 0.4371        | 3.0   | 525  | 0.6302          | 0.7186   | 0.8276 |
+| 1.0201        | 1.0   | 175  | 0.3122          | 0.8457   | 0.9086 |
+| 0.5595        | 2.0   | 350  | 0.5199          | 0.7686   | 0.8691 |
+| 0.5438        | 3.0   | 525  | 0.4948          | 0.7686   | 0.8691 |
 
 
 ### Framework versions