Training in progress epoch 0

README.md

@@ -14,8 +14,8 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2808
-- Epoch: 2
+- Train Loss: 0.5969
+- Epoch: 0
 
 ## Model description
 
@@ -34,21 +34,19 @@ 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': 759, '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': 3030, '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 |
 |:----------:|:-----:|
-| 0.6235     | 0     |
-| 0.3887     | 1     |
-| 0.2808     | 2     |
+| 0.5969     | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.21.1
-- TensorFlow 2.9.1
+- Transformers 4.21.2
+- TensorFlow 2.8.2
 - Datasets 2.4.0
 - Tokenizers 0.12.1

config.json

@@ -22,7 +22,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.21.1",
+  "transformers_version": "4.21.2",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:1b19a41b53ffef3421d0a497075decaad7f80b05bcda0b0b1418d7fdfff6c002
 size 496513360