Model save

README.md

@@ -3,9 +3,6 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
 model-index:
 - name: emotion-analysis-3000
   results: []
@@ -17,10 +14,6 @@ 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: 1.7875
-- Accuracy: 0.4685
-- F1: 0.4357
 
 ## Model description
 
@@ -47,16 +40,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
-| 1.85          | 1.0   | 4296  | 1.8051          | 0.4689   | 0.4157 |
-| 1.7268        | 2.0   | 8592  | 1.7875          | 0.4685   | 0.4357 |
-| 1.6381        | 3.0   | 12888 | 1.7995          | 0.4602   | 0.4358 |
-| 1.5568        | 4.0   | 17184 | 1.8209          | 0.4573   | 0.4337 |
-
-
 ### Framework versions
 
 - Transformers 4.39.3

runs/Apr16_13-27-05_DESKTOP-TE1H4IM/events.out.tfevents.1713266825.DESKTOP-TE1H4IM.2120.0

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