update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+datasets:
+- natural_questions
 model-index:
 - name: distilbert-base-uncased-finetuned-natural-questions
   results: []
@@ -12,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-finetuned-natural-questions
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the natural_questions dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3516
+- Loss: 0.3083
 
 ## Model description
 
@@ -34,8 +36,8 @@ 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: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -43,23 +45,23 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step   | Validation Loss |
-|:-------------:|:-----:|:------:|:---------------:|
-| No log        | 1.0   | 20415  | 0.2347          |
-| No log        | 2.0   | 40830  | 0.2269          |
-| 1.885         | 3.0   | 61245  | 0.2441          |
-| 1.885         | 4.0   | 81660  | 0.2316          |
-| 1.5134        | 5.0   | 102075 | 0.2618          |
-| 1.5134        | 6.0   | 122490 | 0.2609          |
-| 1.5134        | 7.0   | 142905 | 0.2865          |
-| 1.1608        | 8.0   | 163320 | 0.3046          |
-| 1.1608        | 9.0   | 183735 | 0.3372          |
-| 0.9118        | 10.0  | 204150 | 0.3516          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.0532        | 1.0   | 5104  | 0.2393          |
+| 1.8912        | 2.0   | 10208 | 0.2284          |
+| 1.7854        | 3.0   | 15312 | 0.2357          |
+| 1.6856        | 4.0   | 20416 | 0.2487          |
+| 1.5918        | 5.0   | 25520 | 0.2743          |
+| 1.5067        | 6.0   | 30624 | 0.2586          |
+| 1.4323        | 7.0   | 35728 | 0.2763          |
+| 1.365         | 8.0   | 40832 | 0.2753          |
+| 1.3162        | 9.0   | 45936 | 0.3200          |
+| 1.281         | 10.0  | 51040 | 0.3083          |
 
 
 ### Framework versions
 
 - Transformers 4.17.0
 - Pytorch 1.10.0
-- Datasets 1.18.3
+- Datasets 1.18.4
 - Tokenizers 0.11.6