End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: my_awesome_wnut_model
   results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 # my_awesome_wnut_model
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2652
+- Precision: 0.5528
+- Recall: 0.3151
+- F1: 0.4014
+- Accuracy: 0.9417
 
 ## Model description
 
@@ -40,9 +51,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 213  | 0.2726          | 0.5665    | 0.2762 | 0.3713 | 0.9392   |
+| No log        | 2.0   | 426  | 0.2652          | 0.5528    | 0.3151 | 0.4014 | 0.9417   |
+
+
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.39.3
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

model.safetensors

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 size 265503852

runs/Apr02_12-34-20_4e7756e4d136/events.out.tfevents.1712061261.4e7756e4d136.3603.0

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