End of training

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: microsoft/deberta-v3-base
 tags:
 - generated_from_trainer
+datasets:
+- eli5_category
 model-index:
 - name: finetuned-DebertaV3-eli5-askscience-TextGeneration
   results: []
@@ -13,7 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetuned-DebertaV3-eli5-askscience-TextGeneration
 
-This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the eli5_category dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7192
 
 ## Model description
 
@@ -40,6 +44,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.9211        | 1.0   | 1049 | 3.5396          |
+| 2.8329        | 2.0   | 2098 | 3.0325          |
+| 3.3087        | 3.0   | 3147 | 2.8686          |
+| 3.1624        | 4.0   | 4196 | 2.7708          |
+| 2.4202        | 5.0   | 5245 | 2.7318          |
+
+
 ### Framework versions
 
 - Transformers 4.38.2