Upload TFDistilBertForSequenceClassification

README.md

@@ -14,11 +14,11 @@ 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: 1.8575
-- Train Accuracy: 0.5786
-- Validation Loss: 0.8849
-- Validation Accuracy: 0.8171
-- Epoch: 0
+- Train Loss: 0.0479
+- Train Accuracy: 0.9922
+- Validation Loss: 0.2769
+- Validation Accuracy: 0.9284
+- Epoch: 9
 
 ## Model description
 
@@ -44,7 +44,16 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 1.8575     | 0.5786         | 0.8849          | 0.8171              | 0     |
+| 1.8498     | 0.5829         | 0.9285          | 0.8012              | 0     |
+| 0.6611     | 0.8406         | 0.4800          | 0.8807              | 1     |
+| 0.3563     | 0.9128         | 0.3829          | 0.9002              | 2     |
+| 0.2276     | 0.9475         | 0.3593          | 0.9072              | 3     |
+| 0.1544     | 0.9659         | 0.3205          | 0.9214              | 4     |
+| 0.1094     | 0.9779         | 0.3007          | 0.9214              | 5     |
+| 0.0825     | 0.9846         | 0.2821          | 0.9258              | 6     |
+| 0.0634     | 0.9895         | 0.2754          | 0.9337              | 7     |
+| 0.0533     | 0.9916         | 0.2707          | 0.9337              | 8     |
+| 0.0479     | 0.9922         | 0.2769          | 0.9284              | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:36a760c20d64dfe355ae63d9020ca0b3dfadcd611d79346a278fb05682b2cf34
 size 268010440