Training in progress epoch 0

README.md

@@ -14,9 +14,9 @@ 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: 0.5036
-- Validation Loss: 0.4900
-- Train Accuracy: 0.9245
+- Train Loss: 0.6876
+- Validation Loss: 0.6618
+- Train Accuracy: 0.5577
 - Epoch: 0
 
 ## Model description
@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.5036     | 0.4900          | 0.9245         | 0     |
+| 0.6876     | 0.6618          | 0.5577         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3db899f2350142f60247c212b348105c91ea298eae9663bb5cd48cbf6a6bf03e
+oid sha256:0399b5be09ed218c50947aa015da3939ede37f0661cd12226824223ab6c4d64d
 size 267956392

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 512,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {