Training in progress epoch 0

README.md

@@ -1,5 +1,4 @@
 ---
-license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
@@ -12,11 +11,11 @@ probably proofread and complete it, then remove this comment. -->
 
 # zinoubm/e-comerce-category-classification
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0767
-- Validation Loss: 0.0896
-- Epoch: 1
+- Train Loss: 0.0481
+- Validation Loss: 0.0434
+- Epoch: 0
 
 ## Model description
 
@@ -42,8 +41,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.1851     | 0.1190          | 0     |
-| 0.0767     | 0.0896          | 1     |
+| 0.0481     | 0.0434          | 0     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilbert-base-uncased",
+  "_name_or_path": "/content/model",
   "activation": "gelu",
   "architectures": [
     "DistilBertForSequenceClassification"

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:836a502677f64766a8d59af124358222cc17ff831aec52a35ab25a6d5393f71b
+oid sha256:4624b74140ce270e9964476b0362bad8d00ca3fa8840b57f781285b2cc928ece
 size 267962536

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": [
     {