Model save

README.md

@@ -3,8 +3,6 @@ license: mit
 base_model: microsoft/deberta-v3-base
 tags:
 - generated_from_trainer
-datasets:
-- eli5_category
 model-index:
 - name: finetuned-DebertaV3-eli5-askscience-TextGeneration
   results: []
@@ -15,9 +13,7 @@ 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 the eli5_category dataset.
-It achieves the following results on the evaluation set:
-- Loss: 3.9098
+This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
 
 ## Model description
 
@@ -37,21 +33,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 24
+- eval_batch_size: 24
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 4.2858        | 1.0   | 1198 | 4.5540          |
-| 4.5096        | 2.0   | 2396 | 4.0584          |
-| 5.3879        | 3.0   | 3594 | 3.8995          |
-
+- num_epochs: 5
 
 ### Framework versions