Training in progress epoch 0

README.md

@@ -12,11 +12,11 @@ probably proofread and complete it, then remove this comment. -->
 
 # GCopoulos/deberta-base-finetuned-answer_pol
 
-This model is a fine-tuned version of [GCopoulos/deberta-base-finetuned-answer_pol](https://huggingface.co/GCopoulos/deberta-base-finetuned-answer_pol) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0097
-- Validation Loss: 0.6153
-- Train F1: 0.8799
+- Train Loss: 0.3525
+- Validation Loss: 0.5093
+- Train F1: 0.8457
 - Epoch: 0
 
 ## Model description
@@ -36,14 +36,14 @@ 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 7e-05, 'decay_steps': 663, '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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 7e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 7e-05, 'decay_steps': 1095, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 10, '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: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Train F1 | Epoch |
 |:----------:|:---------------:|:--------:|:-----:|
-| 0.0097     | 0.6153          | 0.8799   | 0     |
+| 0.3525     | 0.5093          | 0.8457   | 0     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "GCopoulos/deberta-base-finetuned-answer_pol",
+  "_name_or_path": "microsoft/deberta-base",
   "architectures": [
     "DebertaForSequenceClassification"
   ],

logs/train/events.out.tfevents.1686257804.bf249ee763c5.1479.10.v2

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logs/validation/events.out.tfevents.1686257913.bf249ee763c5.1479.11.v2

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tf_model.h5

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