End of training

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: microsoft/deberta-v3-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: finetuned-DebertaV3-imdb-TextClassification
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # finetuned-DebertaV3-imdb-TextClassification
 
 This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1329
+- Accuracy: 0.9631
 
 ## Model description
 
@@ -40,6 +45,14 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1543        | 1.0   | 1042 | 0.1108          | 0.9592   |
+| 0.0929        | 2.0   | 2084 | 0.1329          | 0.9631   |
+
+
 ### Framework versions
 
 - Transformers 4.38.2

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:0497e7c7a555668cc9142af3b0f358d3aca62f46aee76b7927202603c04d1bef
 size 737719272