lBober/my-model-Bertin-Sentimento

README.md

@@ -1,8 +1,8 @@
 ---
 license: cc-by-4.0
+base_model: bertin-project/bertin-roberta-base-spanish
 tags:
 - generated_from_trainer
-base_model: bertin-project/bertin-roberta-base-spanish
 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 [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3572
-- Accuracy: 0.9355
-- F1: 0.9279
-- Precision: 0.9268
-- Recall: 0.9355
+- Loss: 0.2665
+- Accuracy: 0.9484
+- F1: 0.8000
+- Precision: 0.9412
+- Recall: 0.6957
 
 ## Model description
 
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.3998        | 1.0   | 91   | 0.3293          | 0.8774   | 0.8553 | 0.8570    | 0.8774 |
-| 0.2686        | 2.0   | 182  | 0.2188          | 0.9290   | 0.9200 | 0.9199    | 0.9290 |
-| 0.1113        | 3.0   | 273  | 0.2266          | 0.9290   | 0.9299 | 0.9360    | 0.9290 |
-| 0.0265        | 4.0   | 364  | 0.4089          | 0.9355   | 0.9277 | 0.9293    | 0.9355 |
-| 0.0065        | 5.0   | 455  | 0.3572          | 0.9355   | 0.9279 | 0.9268    | 0.9355 |
+| 0.35          | 1.0   | 91   | 0.2157          | 0.8516   | 0.0    | 0.0       | 0.0    |
+| 0.2706        | 2.0   | 182  | 0.4638          | 0.9097   | 0.5625 | 1.0       | 0.3913 |
+| 0.136         | 3.0   | 273  | 0.6050          | 0.9032   | 0.5161 | 1.0       | 0.3478 |
+| 0.0675        | 4.0   | 364  | 0.3015          | 0.9484   | 0.7895 | 1.0       | 0.6522 |
+| 0.0154        | 5.0   | 455  | 0.2665          | 0.9484   | 0.8000 | 0.9412    | 0.6957 |
 
 
 ### Framework versions

config.json

@@ -11,18 +11,8 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.0,
   "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-05,
   "max_position_embeddings": 514,
   "model_type": "roberta",

model.safetensors

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runs/May27_06-57-01_e622931cc5ea/events.out.tfevents.1716793021.e622931cc5ea.8091.0

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runs/May27_06-57-01_e622931cc5ea/events.out.tfevents.1716793120.e622931cc5ea.8091.1

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training_args.bin

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 size 5112