Training in progress epoch 0

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.7317
-- Train End Logits Accuracy: 0.7896
-- Train Start Logits Accuracy: 0.7527
-- Validation Loss: 1.1469
-- Validation End Logits Accuracy: 0.7060
-- Validation Start Logits Accuracy: 0.6706
-- Epoch: 1
+- Train Loss: 1.7468
+- Train End Logits Accuracy: 0.5488
+- Train Start Logits Accuracy: 0.5204
+- Validation Loss: 1.2282
+- Validation End Logits Accuracy: 0.6706
+- Validation Start Logits Accuracy: 0.6367
+- Epoch: 0
 
 ## Model description
 
@@ -39,15 +39,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 22180, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 25124, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
 - training_precision: mixed_float16
 
 ### Training results
 
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
-| 1.0825     | 0.7036                    | 0.6668                      | 1.0882          | 0.7028                         | 0.6693                           | 0     |
-| 0.7317     | 0.7896                    | 0.7527                      | 1.1469          | 0.7060                         | 0.6706                           | 1     |
+| 1.7468     | 0.5488                    | 0.5204                      | 1.2282          | 0.6706                         | 0.6367                           | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1110edef7254298c0750be9add2de71e10ac4d8e170346c8e55b20555c3e896d
+oid sha256:720a79aebd6f6f387260046de42afca1e2283b25f06d76c266de13acac3f7975
 size 260895720

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 100,
-    "strategy": "OnlySecond",
-    "stride": 50
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {