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: 0.1339
-- Validation Loss: 0.1815
-- Train Accuracy: 0.9338
-- Epoch: 1
+- Train Loss: 0.2574
+- Validation Loss: 0.1895
+- Train Accuracy: 0.9289
+- Epoch: 0
 
 ## Model description
 
@@ -43,8 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.2553     | 0.1921          | 0.9236         | 0     |
-| 0.1339     | 0.1815          | 0.9338         | 1     |
+| 0.2574     | 0.1895          | 0.9289         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a8e72c5734956b18cf8de3bc4d3e7804c76751fc41081b152aaea1af59a92f8b
+oid sha256:96da6642200f3240eb64c0bd4e0e889f9aee5aa94ad3e2c6089c325a1d616363
 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": [
     {