update model card README.md

README.md

@@ -3,18 +3,18 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 model-index:
-- name: DistilBert-qa
+- name: distilbert-qa
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# DistilBert-qa
+# distilbert-qa
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6079
+- Loss: 3.0243
 
 ## Model description
 
@@ -43,16 +43,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 1.4359        | 1.0   | 3862  | 1.4477          |
-| 1.0709        | 2.0   | 7724  | 1.4297          |
-| 0.8393        | 3.0   | 11586 | 1.6079          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 52   | 3.6935          |
+| No log        | 2.0   | 104  | 3.1373          |
+| No log        | 3.0   | 156  | 3.0243          |
 
 
 ### Framework versions
 
-- Transformers 4.25.1
-- Pytorch 1.13.0+cu116
-- Datasets 2.8.0
+- Transformers 4.26.0
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
 - Tokenizers 0.13.2