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: 3.4874
+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
 
@@ -36,25 +32,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 24
-- eval_batch_size: 24
+- learning_rate: 5e-05
+- train_batch_size: 48
+- eval_batch_size: 48
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 5
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 4.9941        | 1.0   | 1034 | 4.4596          |
-| 4.4026        | 2.0   | 2068 | 3.8975          |
-| 4.3024        | 3.0   | 3102 | 3.6848          |
-| 3.67          | 4.0   | 4136 | 3.5170          |
-| 3.6813        | 5.0   | 5170 | 3.5066          |
-
-
 ### Framework versions
 
 - Transformers 4.38.2