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: 0.0792
-- Validation Loss: 0.1732
-- Train Accuracy: 0.9484
-- Epoch: 2
+- Train Loss: 0.2147
+- Validation Loss: 0.1662
+- Train Accuracy: 0.9418
+- Epoch: 0
 
 ## Model description
 
@@ -43,14 +43,12 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.2143     | 0.1660          | 0.9414         | 0     |
-| 0.1262     | 0.1657          | 0.9458         | 1     |
-| 0.0792     | 0.1732          | 0.9484         | 2     |
+| 0.2147     | 0.1662          | 0.9418         | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.29.2
+- Transformers 4.30.2
 - TensorFlow 2.12.0
 - Datasets 2.12.0
 - Tokenizers 0.13.3

config.json

@@ -30,6 +30,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.29.2",
+  "transformers_version": "4.30.2",
   "vocab_size": 30522
 }

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a57ad951aefdae65f33487b605021aa139077b251fe694c0361c5aa2f5f35d70
-size 267961288
+oid sha256:0de4c70c3ba127f223ccb39402b9b0090a610739367802b251ad5ba7866228ea
+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": [
     {