Sbudo text classifier

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1895
-- Accuracy: 0.9738
+- Loss: 0.0758
+- Accuracy: 0.9799
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0001        | 1.0   | 24   | 0.2991          | 0.9738   |
-| 0.0           | 2.0   | 48   | 0.3241          | 0.9738   |
-| 0.0           | 3.0   | 72   | 0.2902          | 0.9791   |
-| 0.1063        | 4.0   | 96   | 0.3692          | 0.9686   |
-| 0.0665        | 5.0   | 120  | 0.1401          | 0.9791   |
-| 0.0068        | 6.0   | 144  | 0.2865          | 0.9634   |
-| 0.0           | 7.0   | 168  | 0.1919          | 0.9791   |
-| 0.0           | 8.0   | 192  | 0.1899          | 0.9738   |
-| 0.0           | 9.0   | 216  | 0.1894          | 0.9738   |
-| 0.0           | 10.0  | 240  | 0.1895          | 0.9738   |
+| 0.5363        | 1.0   | 25   | 0.3316          | 0.8643   |
+| 0.1659        | 2.0   | 50   | 0.1660          | 0.9497   |
+| 0.0676        | 3.0   | 75   | 0.0218          | 0.9899   |
+| 0.0248        | 4.0   | 100  | 0.0794          | 0.9749   |
+| 0.0104        | 5.0   | 125  | 0.0263          | 0.9849   |
+| 0.0021        | 6.0   | 150  | 0.0461          | 0.9749   |
+| 0.0102        | 7.0   | 175  | 0.0494          | 0.9849   |
+| 0.0006        | 8.0   | 200  | 0.0719          | 0.9799   |
+| 0.0005        | 9.0   | 225  | 0.0755          | 0.9799   |
+| 0.0005        | 10.0  | 250  | 0.0758          | 0.9799   |
 
 
 ### Framework versions

config.json

@@ -9,13 +9,13 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "0": "no_comida",
-    "1": "comida"
+    "0": "comida",
+    "1": "no_comida"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "comida": 1,
-    "no_comida": 0
+    "comida": 0,
+    "no_comida": 1
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

model.safetensors

@@ -1,3 +1,3 @@
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 size 267832560

training_args.bin

@@ -1,3 +1,3 @@
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 size 5368