Create README.md

README.md

@@ -1,49 +1,9 @@
 ---
-license: mit
-base_model: camembert-base
-tags:
-- generated_from_keras_callback
-model-index:
-- name: myTestModel
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
-
-# myTestModel
-
-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:
-
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- optimizer: {'name': 'RMSprop', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': 100, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
-- training_precision: float32
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.42.4
-- TensorFlow 2.17.0
-- Datasets 2.21.0
-- Tokenizers 0.19.1
+datasets:
+- tblard/allocine
+language:
+- fr
+metrics:
+- accuracy
+library_name: transformers
+---