Training in progress epoch 0

README.md

@@ -17,11 +17,11 @@ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingf
 It achieves the following results on the evaluation set:
 - Train Loss: nan
 - Validation Loss: nan
-- Train Precision: 0.0185
-- Train Recall: 0.0384
-- Train F1: 0.0250
-- Train Accuracy: 0.0354
-- Epoch: 2
+- Train Precision: 0.0864
+- Train Recall: 0.2258
+- Train F1: 0.1249
+- Train Accuracy: 0.1781
+- Epoch: 0
 
 ## Model description
 
@@ -47,9 +47,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| nan        | nan             | 0.0185          | 0.0384       | 0.0250   | 0.0354         | 0     |
-| nan        | nan             | 0.0185          | 0.0384       | 0.0250   | 0.0354         | 1     |
-| nan        | nan             | 0.0185          | 0.0384       | 0.0250   | 0.0354         | 2     |
+| nan        | nan             | 0.0864          | 0.2258       | 0.1249   | 0.1781         | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1717504271.6d311f2f2542.2455.0.v2

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logs/validation/events.out.tfevents.1717504510.6d311f2f2542.2455.1.v2

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