Training in progress epoch 0

README.md

@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dbmdz/bert-base-french-europeana-cased](https://huggingface.co/dbmdz/bert-base-french-europeana-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0042
-- Epoch: 9
+- Train Loss: 0.2036
+- Epoch: 0
 
 ## Model description
 
@@ -35,27 +35,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 7170, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 9480, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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 | Epoch |
 |:----------:|:-----:|
-| 0.2420     | 0     |
-| 0.0971     | 1     |
-| 0.0481     | 2     |
-| 0.0287     | 3     |
-| 0.0198     | 4     |
-| 0.0129     | 5     |
-| 0.0097     | 6     |
-| 0.0067     | 7     |
-| 0.0055     | 8     |
-| 0.0042     | 9     |
+| 0.2036     | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.40.0
 - TensorFlow 2.15.0
-- Tokenizers 0.15.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

@@ -32,7 +32,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.40.0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 32000

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:8437be02022350728c024a32742b9fad6bd4ddfa6757446032c887fefb8e65a8
 size 440395740