add model

README.md

@@ -13,10 +13,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1038
-- Train Accuracy: 0.9663
-- Validation Loss: 0.2976
-- Validation Accuracy: 0.9000
+- Train Loss: 0.1277
+- Train Accuracy: 0.9550
+- Validation Loss: 0.3439
+- Validation Accuracy: 0.8905
 - Epoch: 2
 
 ## Model description
@@ -43,9 +43,9 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.3279     | 0.8723         | 0.3139          | 0.8802              | 0     |
-| 0.1658     | 0.9415         | 0.2826          | 0.8957              | 1     |
-| 0.1038     | 0.9663         | 0.2976          | 0.9000              | 2     |
+| 0.3195     | 0.8712         | 0.3454          | 0.8580              | 0     |
+| 0.1774     | 0.9358         | 0.3258          | 0.8802              | 1     |
+| 0.1277     | 0.9550         | 0.3439          | 0.8905              | 2     |
 
 
 ### Framework versions

config.json

@@ -9,18 +9,8 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
-  "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2"
-  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-  "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2
-  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b60c55d4e27024b3213632fbe747bddf81d9a76920e9153f4c4079f51ae75026
-size 439700828
+oid sha256:81c4cb340a7d3f1b82fd35b49376bfe9cf29be88d97c0497da57aef6bc6acfbd
+size 439697752