Training complete

README.md

@@ -3,6 +3,8 @@ base_model: mrm8488/electricidad-base-discriminator
 tags:
 - classification
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: clasificador-muchocine
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # clasificador-muchocine
 
 This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5225
+- Accuracy: 0.3355
 
 ## Model description
 
@@ -40,6 +45,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5.0
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 388  | 1.5171          | 0.3355   |
+| 1.5309        | 2.0   | 776  | 1.5243          | 0.3355   |
+| 1.514         | 3.0   | 1164 | 1.5244          | 0.3355   |
+| 1.5222        | 4.0   | 1552 | 1.5179          | 0.3355   |
+| 1.5222        | 5.0   | 1940 | 1.5225          | 0.3355   |
+
+
 ### Framework versions
 
 - Transformers 4.33.3

config.json

@@ -32,6 +32,7 @@
   "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",

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:d1090d6bc298af6f3c0a3cbcda072873028b9ee976145d46fc75dd48cb0710dd
 size 439487857