Model save

README.md

@@ -1,6 +1,5 @@
 ---
-license: apache-2.0
-base_model: bert-base-cased
+base_model: mrm8488/TinyBERT-spanish-uncased-finetuned-ner
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test-NERv3
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
+This model is a fine-tuned version of [mrm8488/TinyBERT-spanish-uncased-finetuned-ner](https://huggingface.co/mrm8488/TinyBERT-spanish-uncased-finetuned-ner) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2304
-- Precision: 0.0033
-- Recall: 0.0179
-- F1: 0.0056
-- Accuracy: 0.0585
+- Loss: 7.2459
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.0366
 
 ## Model description
 
@@ -54,9 +53,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 2.2287        | 1.0   | 14   | 2.2304          | 0.0033    | 0.0179 | 0.0056 | 0.0585   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| 6.9793        | 1.0   | 14   | 7.2459          | 0.0       | 0.0    | 0.0 | 0.0366   |
 
 
 ### Framework versions