lBober/my-model-SaBERT-Sentimento

README.md

@@ -1,8 +1,8 @@
 ---
 license: apache-2.0
+base_model: VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis
 tags:
 - generated_from_trainer
-base_model: VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis
 metrics:
 - accuracy
 - f1
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis](https://huggingface.co/VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1717
-- Accuracy: 0.9613
-- F1: 0.9581
-- Precision: 0.9550
-- Recall: 0.9613
+- Loss: 0.0937
+- Accuracy: 0.9742
+- F1: 0.9091
+- Precision: 0.9524
+- Recall: 0.8696
 
 ## Model description
 
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.3142        | 1.0   | 91   | 0.1184          | 0.9677   | 0.9635 | 0.9610    | 0.9677 |
-| 0.142         | 2.0   | 182  | 0.1187          | 0.9613   | 0.9595 | 0.9597    | 0.9613 |
-| 0.0545        | 3.0   | 273  | 0.2213          | 0.9613   | 0.9564 | 0.9546    | 0.9613 |
-| 0.0353        | 4.0   | 364  | 0.1673          | 0.9677   | 0.9642 | 0.9610    | 0.9677 |
-| 0.0311        | 5.0   | 455  | 0.1717          | 0.9613   | 0.9581 | 0.9550    | 0.9613 |
+| 0.2992        | 1.0   | 91   | 0.1026          | 0.9484   | 0.7895 | 1.0       | 0.6522 |
+| 0.1379        | 2.0   | 182  | 0.1494          | 0.9548   | 0.8293 | 0.9444    | 0.7391 |
+| 0.0415        | 3.0   | 273  | 0.0744          | 0.9742   | 0.9091 | 0.9524    | 0.8696 |
+| 0.0249        | 4.0   | 364  | 0.0761          | 0.9742   | 0.9091 | 0.9524    | 0.8696 |
+| 0.0173        | 5.0   | 455  | 0.0937          | 0.9742   | 0.9091 | 0.9524    | 0.8696 |
 
 
 ### Framework versions

config.json

@@ -10,17 +10,12 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2"
+    "0": "Negative",
+    "1": "Positive"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-  "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2
-  },
+  "label2id": null,
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",

model.safetensors

@@ -1,3 +1,3 @@
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runs/May27_06-45-24_e622931cc5ea/events.out.tfevents.1716792325.e622931cc5ea.4476.0

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runs/May27_06-45-24_e622931cc5ea/events.out.tfevents.1716792420.e622931cc5ea.4476.1

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training_args.bin

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 size 5112