greetings-v1

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: projecte-aina/roberta-base-ca-v2
 tags:
@@ -20,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2](https://huggingface.co/projecte-aina/roberta-base-ca-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2183
-- Accuracy: 0.684
-- Precision: 0.4290
-- Recall: 0.4443
-- F1: 0.4224
+- Loss: 0.0000
+- Accuracy: 1.0
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
 
 ## Model description
 
@@ -43,29 +44,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 5
+- num_epochs: 2
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 2.2298        | 1.0   | 568  | 1.5513          | 0.576    | 0.2101    | 0.2781 | 0.2186 |
-| 1.4142        | 2.0   | 1136 | 1.2728          | 0.652    | 0.3275    | 0.3903 | 0.3517 |
-| 1.1276        | 3.0   | 1704 | 1.2183          | 0.684    | 0.4290    | 0.4443 | 0.4224 |
-| 0.8384        | 4.0   | 2272 | 1.2388          | 0.672    | 0.5085    | 0.4718 | 0.4609 |
-| 0.6867        | 5.0   | 2840 | 1.2870          | 0.674    | 0.5075    | 0.4686 | 0.4597 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
+| No log        | 1.0   | 319  | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
+| 0.0           | 2.0   | 638  | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
 
 
 ### Framework versions
 
-- Transformers 4.41.0
-- Pytorch 2.3.0+cu121
-- Datasets 2.19.1
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
 - Tokenizers 0.19.1

config.json

@@ -12,26 +12,8 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "Aig\u00fces",
-    "1": "Consum, comer\u00e7 i mercats",
-    "2": "Cultura",
-    "3": "Economia",
-    "4": "Educaci\u00f3",
-    "5": "Enllumenat p\u00fablic",
-    "6": "Esports",
-    "7": "Habitatge",
-    "8": "Horta",
-    "9": "Informaci\u00f3 general",
-    "10": "Inform\u00e0tica",
-    "11": "Joventut",
-    "12": "Medi ambient",
-    "13": "Neteja de la via p\u00fablica",
-    "14": "Salut p\u00fablica i Cementiri",
-    "15": "Seguretat",
-    "16": "Serveis socials",
-    "17": "Tramitacions",
-    "18": "Urbanisme",
-    "19": "Via p\u00fablica i mobilitat"
+    "0": 0,
+    "1": 1
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -44,7 +26,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.41.0",
+  "transformers_version": "4.44.2",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50262

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training_args.bin

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