add model

README.md

@@ -1,22 +1,19 @@
 ---
-license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
-- name: javilonso/classificationEsp1_Attraction
+- name: classificationEsp1_Attraction
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# javilonso/classificationEsp1_Attraction
+# classificationEsp1_Attraction
 
-This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on an unknown dataset.
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0253
-- Validation Loss: 0.0402
-- Epoch: 1
+
 
 ## Model description
 
@@ -35,15 +32,11 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 8979, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
-- training_precision: mixed_float16
+- optimizer: None
+- training_precision: float32
 
 ### Training results
 
-| Train Loss | Validation Loss | Epoch |
-|:----------:|:---------------:|:-----:|
-| 0.0913     | 0.0654          | 0     |
-| 0.0253     | 0.0402          | 1     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "PlanTL-GOB-ES/roberta-base-bne",
+  "_name_or_path": "classificationEsp1_Attraction",
   "architectures": [
     "RobertaForSequenceClassification"
   ],

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:638265f0f225c0815b6f97f9584b0b990a1bdc42f853808159a5398ac1318a6c
+oid sha256:1a5794c37673b6291db91b1da42d427c8a03d7d9351bb10fd60c8841dc7d8368
 size 498872192