End of training

README.md

@@ -3,6 +3,11 @@ license: mit
 base_model: microsoft/deberta-v3-small
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- accuracy
+- f1
 model-index:
 - name: deberta-v3-ft-news-sentiment-analisys
   results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 # deberta-v3-ft-news-sentiment-analisys
 
 This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1175
+- Precision: 0.9780
+- Recall: 0.9780
+- Accuracy: 0.9780
+- F1: 0.9780
 
 ## Model description
 
@@ -40,6 +51,22 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 10
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:------:|
+| No log        | 1.0   | 64   | 0.3711          | 0.8282    | 0.8282 | 0.8282   | 0.8282 |
+| No log        | 2.0   | 128  | 0.1800          | 0.9559    | 0.9559 | 0.9559   | 0.9559 |
+| No log        | 3.0   | 192  | 0.1296          | 0.9604    | 0.9604 | 0.9604   | 0.9604 |
+| No log        | 4.0   | 256  | 0.1228          | 0.9736    | 0.9736 | 0.9736   | 0.9736 |
+| No log        | 5.0   | 320  | 0.1352          | 0.9736    | 0.9736 | 0.9736   | 0.9736 |
+| No log        | 6.0   | 384  | 0.1785          | 0.9648    | 0.9648 | 0.9648   | 0.9648 |
+| No log        | 7.0   | 448  | 0.1175          | 0.9780    | 0.9780 | 0.9780   | 0.9780 |
+| 0.1612        | 8.0   | 512  | 0.1344          | 0.9692    | 0.9692 | 0.9692   | 0.9692 |
+| 0.1612        | 9.0   | 576  | 0.1274          | 0.9648    | 0.9648 | 0.9648   | 0.9648 |
+| 0.1612        | 10.0  | 640  | 0.1242          | 0.9692    | 0.9692 | 0.9692   | 0.9692 |
+
+
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

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runs/Jan21_15-41-11_73095be6df3d/events.out.tfevents.1705851679.73095be6df3d.10015.0

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training_args.bin

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