Training in progress epoch 1

README.md

@@ -14,13 +14,13 @@ 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: 1.1440
-- Validation Loss: 0.6108
-- Train Precision: 0.5739
-- Train Recall: 0.5788
-- Train F1: 0.5727
-- Train Accuracy: 0.8367
-- Epoch: 0
+- Train Loss: 0.5050
+- Validation Loss: 0.5447
+- Train Precision: 0.6506
+- Train Recall: 0.6243
+- Train F1: 0.6325
+- Train Accuracy: 0.8489
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 1.1440     | 0.6108          | 0.5739          | 0.5788       | 0.5727   | 0.8367         | 0     |
+| 0.5050     | 0.5447          | 0.6506          | 0.6243       | 0.6325   | 0.8489         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8102dc2d1bd21311a87a0961a0fb19d9c5cfdb1b2c14c9937c9b2f5018dba724
 size 268010440