Training in progress epoch 3

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 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: 0.4485
-- Validation Loss: 0.5094
-- Train Accuracy: 0.8095
-- Epoch: 2
+- Train Loss: 0.3590
+- Validation Loss: 0.4962
+- Train Accuracy: 0.8070
+- Epoch: 3
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 1.0860     | 0.8075          | 0.7018         | 0     |
 | 0.6507     | 0.6038          | 0.7895         | 1     |
 | 0.4485     | 0.5094          | 0.8095         | 2     |
+| 0.3590     | 0.4962          | 0.8070         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1bc5a694a4246b2f16b5ad9441fb043b68dac32d310aec50115a0df3b1a6d51c
+oid sha256:2a24833cb037cb809cd97e08ca2408e9f8d8755bf61536477f138c41ea0f2ba4
 size 553167240