Training in progress epoch 0

README.md

@@ -15,10 +15,10 @@ 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: 0.5371
-- Validation Loss: 0.5436
-- Train Accuracy: 0.8077
-- Epoch: 19
+- Train Loss: 0.6872
+- Validation Loss: 0.6614
+- Train Accuracy: 0.6154
+- Epoch: 0
 
 ## Model description
 
@@ -37,38 +37,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 30, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 30, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.6881     | 0.6649          | 0.6058         | 0     |
-| 0.6504     | 0.6287          | 0.6827         | 1     |
-| 0.6153     | 0.5912          | 0.6635         | 2     |
-| 0.5746     | 0.5595          | 0.7308         | 3     |
-| 0.5558     | 0.5436          | 0.8077         | 4     |
-| 0.5554     | 0.5436          | 0.8077         | 5     |
-| 0.5513     | 0.5436          | 0.8077         | 6     |
-| 0.5516     | 0.5436          | 0.8077         | 7     |
-| 0.5518     | 0.5436          | 0.8077         | 8     |
-| 0.5597     | 0.5436          | 0.8077         | 9     |
-| 0.5506     | 0.5436          | 0.8077         | 10    |
-| 0.5510     | 0.5436          | 0.8077         | 11    |
-| 0.5497     | 0.5436          | 0.8077         | 12    |
-| 0.5565     | 0.5436          | 0.8077         | 13    |
-| 0.5440     | 0.5436          | 0.8077         | 14    |
-| 0.5517     | 0.5436          | 0.8077         | 15    |
-| 0.5493     | 0.5436          | 0.8077         | 16    |
-| 0.5456     | 0.5436          | 0.8077         | 17    |
-| 0.5524     | 0.5436          | 0.8077         | 18    |
-| 0.5371     | 0.5436          | 0.8077         | 19    |
+| 0.6872     | 0.6614          | 0.6154         | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
 - TensorFlow 2.15.0
-- Datasets 2.15.0
+- Datasets 2.16.0
 - Tokenizers 0.15.0

tf_model.h5

@@ -1,3 +1,3 @@
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-oid sha256:4e0a7c3bb09f6c73fef8b9c00898ef408c8cd7782d024a00972189a5c041fcfd
+oid sha256:81372f7ab8ff254e900ebe85b84122885436ec29a16c84fa8d19a324af0348cc
 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": [
     {