Model save

README.md

@@ -17,13 +17,13 @@ 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: 1.1957
-- F1 Macro: 0.8622
-- F1: 0.9042
-- F1 Neg: 0.8201
+- Loss: 0.5480
+- F1 Macro: 0.8624
+- F1: 0.9040
+- F1 Neg: 0.8208
 - Acc: 0.875
-- Prec: 0.8790
-- Recall: 0.9310
+- Prec: 0.8804
+- Recall: 0.9290
 - Mcc: 0.7273
 
 ## Model description
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
 - distributed_type: multi-GPU
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 15
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -59,7 +59,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.2.1+cu121
-- Datasets 2.18.0
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.16.1
 - Tokenizers 0.15.2

runs/Mar11_17-54-13_tardis/events.out.tfevents.1710176229.tardis.80726.19

@@ -0,0 +1,3 @@
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