Training in progress epoch 0

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: distilbert-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
@@ -14,11 +15,11 @@ 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: 0.0000
+- Train Loss: 0.0277
 - Train Accuracy: 1.0
-- Validation Loss: 0.0000
+- Validation Loss: 0.0002
 - Validation Accuracy: 1.0
-- Epoch: 2
+- Epoch: 0
 
 ## Model description
 
@@ -37,21 +38,19 @@ 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': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 56200, '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', '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': 2e-05, 'decay_steps': 25000, '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}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.0264     | 1.0            | 0.0002          | 1.0                 | 0     |
-| 0.0001     | 1.0            | 0.0000          | 1.0                 | 1     |
-| 0.0000     | 1.0            | 0.0000          | 1.0                 | 2     |
+| 0.0277     | 1.0            | 0.0002          | 1.0                 | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
-- TensorFlow 2.12.0
+- Transformers 4.31.0
+- TensorFlow 2.12.1
 - Datasets 2.13.1
 - Tokenizers 0.13.3

config.json

@@ -26,6 +26,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.30.2",
+  "transformers_version": "4.31.0",
   "vocab_size": 30522
 }

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:8b70918d231ec3600a147776316e5c9fe422bb997a10a910e75c54b676af6dbd
 size 267951808