update model card README.md

README.md

@@ -1,7 +1,7 @@
 ---
 license: apache-2.0
 tags:
-- classification
+- ag_news-distilbert-base-uncased
 - generated_from_trainer
 datasets:
 - ag_news
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9242304656669298
+      value: 0.9033149171270718
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # clasificador-news
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the ag_news dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4101
-- Accuracy: 0.9242
+- Loss: 0.4391
+- Accuracy: 0.9033
 
 ## Model description
 
@@ -64,14 +64,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3342        | 1.0   | 2500 | 0.3777          | 0.8990   |
-| 0.2165        | 2.0   | 5000 | 0.3523          | 0.9219   |
-| 0.0969        | 3.0   | 7500 | 0.4101          | 0.9242   |
+| 0.2513        | 1.0   | 715  | 0.3897          | 0.8978   |
+| 0.1873        | 2.0   | 1430 | 0.4007          | 0.9088   |
+| 0.074         | 3.0   | 2145 | 0.4391          | 0.9033   |
 
 
 ### Framework versions
 
-- Transformers 4.27.2
-- Pytorch 1.13.1+cu116
-- Datasets 2.10.1
-- Tokenizers 0.13.2
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3