Training in progress epoch 0

README.md

@@ -15,13 +15,13 @@ 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: 0.0305
-- Validation Loss: 0.0816
-- Train Precision: 0.8909
-- Train Recall: 0.8703
-- Train F1: 0.8805
-- Train Accuracy: 0.9755
-- Epoch: 1
+- Train Loss: 0.0709
+- Validation Loss: 0.0710
+- Train Precision: 0.8563
+- Train Recall: 0.8875
+- Train F1: 0.8716
+- Train Accuracy: 0.9735
+- Epoch: 0
 
 ## Model description
 
@@ -47,8 +47,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 0.0761     | 0.0715          | 0.8724          | 0.8785       | 0.8755   | 0.9740         | 0     |
-| 0.0305     | 0.0816          | 0.8909          | 0.8703       | 0.8805   | 0.9755         | 1     |
+| 0.0709     | 0.0710          | 0.8563          | 0.8875       | 0.8716   | 0.9735         | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1701601690.snek.69265.0.v2

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logs/validation/events.out.tfevents.1701603726.snek.69265.1.v2

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metrics_by_entity.txt

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tf_model.h5

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tokenizer.json

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 {
   "version": "1.0",
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+  "truncation": {
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+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
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   "padding": null,
   "added_tokens": [
     {