Training in progress epoch 0

README.md

@@ -14,10 +14,8 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 6.8590
-- Train Accuracy: 0.0463
-- Validation Loss: 6.3627
-- Validation Accuracy: 0.0277
+- Train Loss: 4.8667
+- Validation Loss: 4.5766
 - Epoch: 0
 
 ## Model description
@@ -37,19 +35,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 9, '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-07, 'amsgrad': False}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 3892, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
 - training_precision: mixed_float16
 
 ### Training results
 
-| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
-|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 6.8590     | 0.0463         | 6.3627          | 0.0277              | 0     |
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 4.8667     | 4.5766          | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.26.0.dev0
-- TensorFlow 2.10.0
+- Transformers 4.25.1
+- TensorFlow 2.9.0
 - Datasets 2.8.0
 - Tokenizers 0.13.2

checkpoint/extra_data.pickle

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checkpoint/weights.h5

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config.json

@@ -32,7 +32,7 @@
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   "use_cache": true,
   "vocab_size": 50257
 }

tf_model.h5

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