Training in progress epoch 0

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.8340
-- Validation Loss: 1.7918
-- Train Accuracy: 0.1667
-- Epoch: 2
+- Train Loss: 1.7905
+- Validation Loss: 1.7693
+- Train Accuracy: 0.275
+- Epoch: 0
 
 ## Model description
 
@@ -43,9 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 4.7387     | 1.7918          | 0.1417         | 0     |
-| 1.8739     | 1.7918          | 0.1583         | 1     |
-| 1.8340     | 1.7918          | 0.1667         | 2     |
+| 1.7905     | 1.7693          | 0.275          | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:984431f0793058fedef2e7b8a733cf06d976a0563ec6ddd4988248304a1f8de5
-size 267964096
+oid sha256:ca27f486760f095e8f8f336b04a3eb8373e707833de131d6be4c94e040ece754
+size 267967432