Training in progress epoch 0

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: 0.4526
-- Validation Loss: 0.4402
-- Train Accuracy: 0.9126
-- Epoch: 1
+- Train Loss: 0.9152
+- Validation Loss: 0.5291
+- Train Accuracy: 0.8487
+- Epoch: 0
 
 ## Model description
 
@@ -43,8 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.9009     | 0.5569          | 0.8576         | 0     |
-| 0.4526     | 0.4402          | 0.9126         | 1     |
+| 0.9152     | 0.5291          | 0.8487         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e3f4f2425d42f5d238b4497c647a8fe118570331433cc2ecc5b9c11544c8844b
-size 267961288
+oid sha256:794b06d6be19ef82dc5332a634d07ebe19e8570fe2932bf2237cc0af399d2190
+size 267957952

tokenizer.json

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