fernandabufon/ft_classifier_base_v2_epoch3

README.md

@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 # epochs_3_fold_3
 
 This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4448
 
 ## Model description
 
@@ -43,6 +45,22 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.738         | 0.2020 | 300  | 0.5920          |
+| 0.5744        | 0.4040 | 600  | 0.5276          |
+| 0.5463        | 0.6061 | 900  | 0.5022          |
+| 0.5206        | 0.8081 | 1200 | 0.4901          |
+| 0.4908        | 1.0101 | 1500 | 0.4721          |
+| 0.4024        | 1.2121 | 1800 | 0.4696          |
+| 0.3901        | 1.4141 | 2100 | 0.4606          |
+| 0.394         | 1.6162 | 2400 | 0.4515          |
+| 0.3715        | 1.8182 | 2700 | 0.4389          |
+| 0.3594        | 2.0202 | 3000 | 0.4496          |
+| 0.2809        | 2.2222 | 3300 | 0.4604          |
+| 0.2589        | 2.4242 | 3600 | 0.4525          |
+| 0.273         | 2.6263 | 3900 | 0.4554          |
+| 0.2642        | 2.8283 | 4200 | 0.4448          |
 
 
 ### Framework versions

model.safetensors

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 size 435731452

training_args.bin

@@ -1,3 +1,3 @@
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 size 5304