End of training

README.md

@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [intfloat/multilingual-e5-large-instruct](https://huggingface.co/intfloat/multilingual-e5-large-instruct) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2357
-- F1 Topic: 0.9099
-- F1 Sentiment: 0.8779
-- F1 Macro Avg: 0.8939
+- Loss: 0.2613
+- F1 Topic: 0.9205
+- F1 Sentiment: 0.9018
+- F1 Macro Avg: 0.9112
 
 ## Model description
 
@@ -58,6 +58,9 @@ The following hyperparameters were used during training:
 | 0.5734        | 2.0   | 296  | 0.3777          | 0.8058   | 0.8242       | 0.8150       |
 | 0.2858        | 3.0   | 444  | 0.2523          | 0.8957   | 0.8652       | 0.8805       |
 | 0.2023        | 4.0   | 592  | 0.2357          | 0.9099   | 0.8779       | 0.8939       |
+| 0.1422        | 5.0   | 740  | 0.2437          | 0.9189   | 0.8927       | 0.9058       |
+| 0.1052        | 6.0   | 888  | 0.2651          | 0.9197   | 0.8946       | 0.9071       |
+| 0.085         | 7.0   | 1036 | 0.2613          | 0.9205   | 0.9018       | 0.9112       |
 
 
 ### Framework versions

classifier.pt

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model.safetensors

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training_args.bin

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