Training in progress epoch 0

README.md

@@ -15,9 +15,9 @@ 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: 0.2557
-- Validation Loss: 0.1851
-- Train Accuracy: 0.9274
+- Train Loss: 0.2510
+- Validation Loss: 0.1838
+- Train Accuracy: 0.9297
 - Epoch: 0
 
 ## Model description
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.2557     | 0.1851          | 0.9274         | 0     |
+| 0.2510     | 0.1838          | 0.9297         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f324082b0052723ff7709f1f1561c1ce89dabc486038fe8b82b6df1f422ffa2c
-size 267955144
+oid sha256:ace5a702d325068255ae275205317781ea14ef4eddfb4db32a2c81e3a1b4bd70
+size 267951808

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": [
     {