Model save

README.md

@@ -17,14 +17,14 @@ 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: 0.6943
-- F1 Macro: 0.8683
-- F1: 0.9054
-- F1 Neg: 0.8313
-- Acc: 0.8788
-- Prec: 0.8975
+- Loss: 1.0891
+- F1 Macro: 0.8654
+- F1: 0.9036
+- F1 Neg: 0.8272
+- Acc: 0.8762
+- Prec: 0.8940
 - Recall: 0.9134
-- Mcc: 0.7369
+- Mcc: 0.7312
 
 ## 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: 5
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d91b774b8b8f2f4ed836397e90972cb8eb8089b9695c19c96ef4b96bcdf3efac
+oid sha256:36d1712303f6c3f8a14ea2bfae9966dd8c019b59c9e3c0a9ac419f23f74e28a4
 size 439433208

runs/Mar12_13-45-22_tardis/events.out.tfevents.1710247524.tardis.118975.14

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cd45c82f64dc060c87f6205f8513db4b5dcbe535871d8bcfb91b6c6face16968
-size 5784
+oid sha256:0f4dbe0a2e341aa25a0abcfe9ede944bc0663d3582353396b05b08945a47b4e1
+size 6295

runs/Mar12_13-45-22_tardis/events.out.tfevents.1710247999.tardis.118975.15

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15e74b46b84aa415b1428cda1ee61442487a9a9fc6924ae6f94f30b0256b8dcd
+size 699