Training in progress epoch 0

README.md

@@ -13,8 +13,8 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [m3rg-iitd/matscibert](https://huggingface.co/m3rg-iitd/matscibert) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 3.7237
-- Epoch: 2
+- Train Loss: 1.5099
+- Epoch: 0
 
 ## Model description
 
@@ -33,20 +33,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 96, '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, 'weight_decay_rate': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16692, '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, 'weight_decay_rate': 0.01}
 - training_precision: mixed_float16
 
 ### Training results
 
 | Train Loss | Epoch |
 |:----------:|:-----:|
-| 4.8349     | 0     |
-| 4.0150     | 1     |
-| 3.7237     | 2     |
+| 1.5099     | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.24.0
 - TensorFlow 2.9.2
+- Datasets 2.6.1
 - Tokenizers 0.13.2

tf_model.h5

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