Upload TFDistilBertForSequenceClassification

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2034
-- Train Binary Accuracy: 0.9241
-- Validation Loss: nan
-- Validation Binary Accuracy: 0.0
+- Train Loss: 0.3204
+- Train Binary Accuracy: 0.8819
+- Validation Loss: 1.5870
+- Validation Binary Accuracy: 0.3519
 - Epoch: 3
 
 ## Model description
@@ -44,10 +44,10 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Binary Accuracy | Validation Loss | Validation Binary Accuracy | Epoch |
 |:----------:|:---------------------:|:---------------:|:--------------------------:|:-----:|
-| 0.5665     | 0.6726                | nan             | 0.0                        | 0     |
-| 0.3827     | 0.8299                | nan             | 0.0                        | 1     |
-| 0.2722     | 0.8863                | nan             | 0.0                        | 2     |
-| 0.2034     | 0.9241                | nan             | 0.0                        | 3     |
+| 0.5592     | 0.6278                | 1.2920          | 0.2050                     | 0     |
+| 0.4488     | 0.7952                | 1.3261          | 0.2612                     | 1     |
+| 0.3743     | 0.8281                | 1.7808          | 0.2439                     | 2     |
+| 0.3204     | 0.8819                | 1.5870          | 0.3519                     | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d8f7ebae4449ba1f20cde98be1cf414f7abdaa02e7a3fec07d6ea0be1ba6bc41
-size 267952072
+oid sha256:04d684db65d39662fc313fede228c88b77a66543188cd23f25c6cac2d034fd8e
+size 267948736