Training complete

README.md

@@ -3,8 +3,6 @@ base_model: mrm8488/electricidad-base-discriminator
 tags:
 - classification
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: clasificador-muchocine
   results: []
@@ -16,9 +14,6 @@ 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: 1.4178
-- Accuracy: 0.4490
 
 ## Model description
 
@@ -45,15 +40,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3.0
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 388  | 1.3408          | 0.4039   |
-| 1.3883        | 2.0   | 776  | 1.2885          | 0.4439   |
-| 0.962         | 3.0   | 1164 | 1.4178          | 0.4490   |
-
-
 ### Framework versions
 
 - Transformers 4.33.3

config.json

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

pytorch_model.bin

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training_args.bin

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