OctavianB/BERT_emotion_detection_2

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3058
-- Accuracy: 0.9070
+- Loss: 2.4441
+- Accuracy: 0.4533
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1975        | 1.0   | 1281 | 0.9324          | 0.6954   |
-| 0.8753        | 2.0   | 2562 | 0.5194          | 0.8408   |
-| 0.5238        | 3.0   | 3843 | 0.3058          | 0.9070   |
+| 1.1863        | 1.0   | 1281 | 1.9083          | 0.4524   |
+| 0.8655        | 2.0   | 2562 | 2.0523          | 0.4483   |
+| 0.5372        | 3.0   | 3843 | 2.4441          | 0.4533   |
 
 
 ### Framework versions

model.safetensors

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 size 437974028

runs/Jan19_21-23-24_24e7f45af873/events.out.tfevents.1705699410.24e7f45af873.1157.0

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training_args.bin

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