Modelo de clasificación de tweets

README.md

@@ -2,10 +2,7 @@
 library_name: transformers
 base_model: mrm8488/electricidad-base-discriminator
 tags:
-- classification
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: clasificador-tweets
   results: []
@@ -17,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # clasificador-tweets
 
 This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.0256
-- Accuracy: 0.7021
 
 ## Model description
 
@@ -44,23 +38,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 10
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 23   | 1.7696          | 0.3404   |
-| No log        | 2.0   | 46   | 1.5945          | 0.4255   |
-| No log        | 3.0   | 69   | 1.3513          | 0.5745   |
-| No log        | 4.0   | 92   | 1.1753          | 0.6170   |
-| No log        | 5.0   | 115  | 1.1159          | 0.7021   |
-| No log        | 6.0   | 138  | 1.0493          | 0.6809   |
-| No log        | 7.0   | 161  | 1.0481          | 0.6383   |
-| No log        | 8.0   | 184  | 1.0136          | 0.7234   |
-| No log        | 9.0   | 207  | 1.0259          | 0.7234   |
-| No log        | 10.0  | 230  | 1.0256          | 0.7021   |
-
+- num_epochs: 3
 
 ### Framework versions
 

config.json

@@ -16,8 +16,7 @@
     "3": "LABEL_3",
     "4": "LABEL_4",
     "5": "LABEL_5",
-    "6": "LABEL_6",
-    "7": "LABEL_7"
+    "6": "LABEL_6"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -28,8 +27,7 @@
     "LABEL_3": 3,
     "LABEL_4": 4,
     "LABEL_5": 5,
-    "LABEL_6": 6,
-    "LABEL_7": 7
+    "LABEL_6": 6
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
@@ -38,7 +36,6 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "problem_type": "single_label_classification",
   "summary_activation": "gelu",
   "summary_last_dropout": 0.1,
   "summary_type": "first",

model.safetensors

@@ -1,3 +1,3 @@
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+size 439449188

runs/Jan09_18-50-09_f873932dfc5b/events.out.tfevents.1736448653.f873932dfc5b.1306.0

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tokenizer.json

@@ -1,19 +1,7 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 128,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
-  "padding": {
-    "strategy": "BatchLongest",
-    "direction": "Right",
-    "pad_to_multiple_of": null,
-    "pad_id": 1,
-    "pad_type_id": 0,
-    "pad_token": "[PAD]"
-  },
+  "truncation": null,
+  "padding": null,
   "added_tokens": [
     {
       "id": 0,

training_args.bin

@@ -1,3 +1,3 @@
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