Model save

README.md

@@ -1,5 +1,6 @@
 ---
-base_model: mrm8488/TinyBERT-spanish-uncased-finetuned-ner
+license: mit
+base_model: roberta-large
 tags:
 - generated_from_trainer
 metrics:
@@ -17,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test-NERv3
 
-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.
+This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 7.2459
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.0366
+- Loss: 2.0802
+- Precision: 0.0073
+- Recall: 0.0128
+- F1: 0.0093
+- Accuracy: 0.1767
 
 ## Model description
 
@@ -53,9 +54,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| 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   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 2.1106        | 1.0   | 14   | 2.0802          | 0.0073    | 0.0128 | 0.0093 | 0.1767   |
 
 
 ### Framework versions