Training in progress epoch 8

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [silviacamplani/distilbert-finetuned-dapt_tapt-lm-ai](https://huggingface.co/silviacamplani/distilbert-finetuned-dapt_tapt-lm-ai) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.9326
-- Validation Loss: 0.9225
-- Train Precision: 0.5050
-- Train Recall: 0.5473
-- Train F1: 0.5253
-- Train Accuracy: 0.7689
-- Epoch: 4
+- Train Loss: 0.6284
+- Validation Loss: 0.7158
+- Train Precision: 0.5330
+- Train Recall: 0.5968
+- Train F1: 0.5631
+- Train Accuracy: 0.8321
+- Epoch: 8
 
 ## Model description
 
@@ -51,6 +51,10 @@ The following hyperparameters were used during training:
 | 1.3447     | 1.2423          | 0.3073          | 0.3510       | 0.3277   | 0.6910         | 2     |
 | 1.1065     | 1.0569          | 0.4162          | 0.4536       | 0.4341   | 0.7195         | 3     |
 | 0.9326     | 0.9225          | 0.5050          | 0.5473       | 0.5253   | 0.7689         | 4     |
+| 0.8061     | 0.8345          | 0.5306          | 0.5770       | 0.5528   | 0.8011         | 5     |
+| 0.7118     | 0.7749          | 0.5292          | 0.5878       | 0.5569   | 0.8176         | 6     |
+| 0.6636     | 0.7366          | 0.5314          | 0.5950       | 0.5614   | 0.8242         | 7     |
+| 0.6284     | 0.7158          | 0.5330          | 0.5968       | 0.5631   | 0.8321         | 8     |
 
 
 ### Framework versions

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tf_model.h5

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