End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3670
+- Loss: 0.7945
 
 ## Model description
 
@@ -35,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.8655        | 1.0   | 267  | 2.5858          |
-| 2.6179        | 2.0   | 534  | 2.4206          |
-| 2.5312        | 3.0   | 801  | 2.3999          |
+| No log        | 1.0   | 301  | 1.7772          |
+| 3.8291        | 2.0   | 602  | 0.9368          |
+| 3.8291        | 3.0   | 903  | 0.7945          |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.1+cu118
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 1186712