Upload TFDistilBertForSequenceClassification

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: 0.5381
-- Validation Loss: 0.6318
-- Train Accuracy: 0.7436
-- Epoch: 4
+- Train Loss: 0.4068
+- Validation Loss: 0.5871
+- Train Accuracy: 0.8205
+- Epoch: 9
 
 ## Model description
 
@@ -36,23 +36,28 @@ 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': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 145, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 140, '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}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 1.2425     | 1.0278          | 0.6410         | 0     |
-| 0.9409     | 0.8109          | 0.6923         | 1     |
-| 0.7370     | 0.6991          | 0.7436         | 2     |
-| 0.6080     | 0.6474          | 0.7436         | 3     |
-| 0.5381     | 0.6318          | 0.7436         | 4     |
+| 1.2952     | 1.1288          | 0.4957         | 0     |
+| 1.1276     | 0.9616          | 0.6581         | 1     |
+| 0.9647     | 0.8319          | 0.6838         | 2     |
+| 0.8187     | 0.7676          | 0.7265         | 3     |
+| 0.7088     | 0.7020          | 0.7436         | 4     |
+| 0.6026     | 0.6590          | 0.7863         | 5     |
+| 0.5296     | 0.6246          | 0.7949         | 6     |
+| 0.4712     | 0.6000          | 0.8120         | 7     |
+| 0.4359     | 0.5900          | 0.8291         | 8     |
+| 0.4068     | 0.5871          | 0.8205         | 9     |
 
 
 ### Framework versions
 
 - Transformers 4.26.1
-- TensorFlow 2.11.0
+- TensorFlow 2.9.0
 - Datasets 2.10.1
 - Tokenizers 0.13.2

tf_model.h5

@@ -1,3 +1,3 @@
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 size 267957952