Training in progress epoch 3

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: 2.6671
-- Validation Loss: 2.0032
-- Train Precision: 0.0
-- Train Recall: 0.0
-- Train F1: 0.0
-- Train Accuracy: 0.5482
-- Epoch: 0
+- Train Loss: 1.1390
+- Validation Loss: 1.0990
+- Train Precision: 0.4018
+- Train Recall: 0.4527
+- Train F1: 0.4257
+- Train Accuracy: 0.7181
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,9 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 2.6671     | 2.0032          | 0.0             | 0.0          | 0.0      | 0.5482         | 0     |
+| 1.7401     | 1.5194          | 0.1820          | 0.0693       | 0.1004   | 0.5902         | 1     |
+| 1.3487     | 1.2627          | 0.2628          | 0.2952       | 0.2781   | 0.6766         | 2     |
+| 1.1390     | 1.0990          | 0.4018          | 0.4527       | 0.4257   | 0.7181         | 3     |
 
 
 ### Framework versions

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