Training in progress epoch 0

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1880
-- Train Accuracy: 0.9396
-- Validation Loss: 0.3926
-- Validation Accuracy: 0.8492
-- Epoch: 2
+- Train Loss: 0.5151
+- Train Accuracy: 0.7561
+- Validation Loss: 0.4200
+- Validation Accuracy: 0.8212
+- Epoch: 0
 
 ## Model description
 
@@ -37,16 +37,14 @@ 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': 603, '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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1005, '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}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.4675     | 0.7816         | 0.3782          | 0.8436              | 0     |
-| 0.3006     | 0.8886         | 0.4087          | 0.8324              | 1     |
-| 0.1880     | 0.9396         | 0.3926          | 0.8492              | 2     |
+| 0.5151     | 0.7561         | 0.4200          | 0.8212              | 0     |
 
 
 ### Framework versions

config.json

@@ -10,8 +10,16 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
+  "id2label": {
+    "0": "valid\u00e9e",
+    "1": "signal\u00e9e"
+  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
+  "label2id": {
+    "signal\u00e9e": 1,
+    "valid\u00e9e": 0
+  },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
   "model_type": "camembert",

logs/train/events.out.tfevents.1676047991.ac38487b6343.1977.4.v2

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logs/validation/events.out.tfevents.1676048167.ac38487b6343.1977.5.v2

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tf_model.h5

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