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: 1.0978
-- Validation Loss: 0.8538
-- Train Accuracy: 0.6635
+- Train Loss: 1.0643
+- Validation Loss: 0.8268
+- Train Accuracy: 0.6571
 - Epoch: 0
 
 ## Model description
@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.0978     | 0.8538          | 0.6635         | 0     |
+| 1.0643     | 0.8268          | 0.6571         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce310870d4b9cc5e87226097b0649df748a4b7958798493bb7b80000c9d44c7e
+oid sha256:8c7dd09e34ae2a06365c308deae84eaefae1d2fb934e495dc77dc88d5ed5ffbf
 size 267961288

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": [
     {