Upload TFFlaubertForSequenceClassification

README.md

@@ -4,21 +4,21 @@ base_model: flaubert/flaubert_base_cased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: christopheparisse/complexity_70_model
+- name: complexity_70_model
   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. -->
 
-# christopheparisse/complexity_70_model
+# complexity_70_model
 
 This model is a fine-tuned version of [flaubert/flaubert_base_cased](https://huggingface.co/flaubert/flaubert_base_cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2362
-- Validation Loss: 0.2135
-- Train Accuracy: 0.9017
-- Epoch: 0
+- Train Loss: 0.1832
+- Validation Loss: 0.2141
+- Train Accuracy: 0.9072
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.2362     | 0.2135          | 0.9017         | 0     |
+| 0.2047     | 0.2103          | 0.9055         | 1     |
+| 0.1832     | 0.2141          | 0.9072         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f69701240d39fe5c34b705e3b9086985161ae68bcd71e976a238dc50be4b6d0c
+oid sha256:a38f98527efdce62b24991525a1ae34d5c3fb54a745914bc4d906af93d5ea001
 size 553161096