End of training

README.md

@@ -2,8 +2,6 @@
 base_model: dccuchile/bert-base-spanish-wwm-cased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: Prototipo_1_EMI
   results: []
@@ -16,8 +14,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0522
-- Accuracy: 0.5728
+- eval_loss: 1.0198
+- eval_accuracy: 0.5826
+- eval_runtime: 23.4219
+- eval_samples_per_second: 213.475
+- eval_steps_per_second: 8.539
+- epoch: 2.3333
+- step: 7000
 
 ## Model description
 
@@ -36,7 +39,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 3e-05
 - train_batch_size: 25
 - eval_batch_size: 25
 - seed: 42
@@ -46,32 +49,6 @@ The following hyperparameters were used during training:
 - num_epochs: 5
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.0936        | 0.25  | 500   | 1.0491          | 0.527    |
-| 0.9889        | 0.5   | 1000  | 0.9982          | 0.5478   |
-| 0.9964        | 0.75  | 1500  | 0.9847          | 0.5624   |
-| 1.012         | 1.0   | 2000  | 0.9651          | 0.5744   |
-| 0.8354        | 1.25  | 2500  | 0.9694          | 0.5748   |
-| 0.9153        | 1.5   | 3000  | 0.9953          | 0.5636   |
-| 0.8969        | 1.75  | 3500  | 0.9661          | 0.5682   |
-| 0.9201        | 2.0   | 4000  | 0.9527          | 0.5816   |
-| 0.8482        | 2.25  | 4500  | 0.9854          | 0.576    |
-| 0.8222        | 2.5   | 5000  | 0.9788          | 0.5764   |
-| 0.774         | 2.75  | 5500  | 0.9925          | 0.5784   |
-| 0.8086        | 3.0   | 6000  | 0.9864          | 0.5788   |
-| 0.7053        | 3.25  | 6500  | 1.0250          | 0.5752   |
-| 0.704         | 3.5   | 7000  | 1.0330          | 0.5702   |
-| 0.7205        | 3.75  | 7500  | 1.0258          | 0.5762   |
-| 0.6891        | 4.0   | 8000  | 1.0314          | 0.5746   |
-| 0.6354        | 4.25  | 8500  | 1.0445          | 0.5746   |
-| 0.6902        | 4.5   | 9000  | 1.0502          | 0.5714   |
-| 0.6682        | 4.75  | 9500  | 1.0516          | 0.5718   |
-| 0.6791        | 5.0   | 10000 | 1.0522          | 0.5728   |
-
-
 ### Framework versions
 
 - Transformers 4.40.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:18f2e54300f7ae88f5d59acb11c733673c48bc69bc5f56545e85ffdfacf43f2a
+oid sha256:9c316663b4593fe9d303b69f4ffea6beff7f67e49a273509096d95920d6e7bcf
 size 439442436