Update README.md

README.md

@@ -17,7 +17,8 @@ pipeline_tag: text-classification
 
 # fnet-base-Financial_Sentiment_Analysis
 
-This model is a fine-tuned version of [google/fnet-base](https://huggingface.co/google/fnet-base) on the None dataset.
+This model is a fine-tuned version of [google/fnet-base](https://huggingface.co/google/fnet-base).
+
 It achieves the following results on the evaluation set:
 - Loss: 0.3281
 - Accuracy: 0.8117
@@ -62,7 +63,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted f1 | Micro f1 | Macro f1 | Weighted recall | Micro recall | Macro recall | Weighted precision | Micro precision | Macro precision |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted F1 | Micro F1 | Macro F1 | Weighted Recall | Micro Recall | Macro Recall | Weighted Precision | Micro Precision | Macro Precision |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
 | 0.6116        | 1.0   | 134  | 0.5127          | 0.6304   | 0.5606      | 0.6304   | 0.4705   | 0.6304          | 0.6304       | 0.5272       | 0.6722             | 0.6304          | 0.6103          |
 | 0.4497        | 2.0   | 268  | 0.3885          | 0.7578   | 0.7490      | 0.7578   | 0.6783   | 0.7578          | 0.7578       | 0.6636       | 0.7677             | 0.7578          | 0.7196          |