Upload TFDistilBertForSequenceClassification

README.md

@@ -14,9 +14,11 @@ 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: 0.1452
-- Train Accuracy: 0.9865
-- Epoch: 0
+- Train Loss: 0.0256
+- Train Accuracy: 0.9935
+- Validation Loss: 0.0414
+- Validation Accuracy: 0.9922
+- Epoch: 2
 
 ## Model description
 
@@ -35,14 +37,16 @@ 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': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, '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': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 47871, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
-| Train Loss | Train Accuracy | Epoch |
-|:----------:|:--------------:|:-----:|
-| 0.1452     | 0.9865         | 0     |
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.0488     | 0.9874         | 0.0398          | 0.9940              | 0     |
+| 0.0352     | 0.9926         | 0.0389          | 0.9933              | 1     |
+| 0.0256     | 0.9935         | 0.0414          | 0.9922              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2c75c50362d10635b2c7f629e53cc015404646fc48df40da430c811cc80953ef
 size 267964096