End of training

README.md

@@ -1,4 +1,6 @@
 ---
+license: apache-2.0
+base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -16,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # nlp
 
-This model was trained from scratch on an unknown dataset.
+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:
-- Loss: 0.4773
-- Precision: {'precision': 0.7752857693295658}
-- Recall: {'recall': 0.7645053475935829}
-- F1: {'f1': 0.7692714884696017}
-- Accuracy: {'accuracy': 0.7990936555891238}
+- Loss: 0.4525
+- Precision: {'precision': 0.7764142452209191}
+- Recall: {'recall': 0.7645002056766763}
+- F1: {'f1': 0.76970663621118}
+- Accuracy: {'accuracy': 0.7998489425981873}
 
 ## Model description
 
@@ -51,9 +53,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision                         | Recall                         | F1                         | Accuracy                         |
-|:-------------:|:-----:|:----:|:---------------:|:---------------------------------:|:------------------------------:|:--------------------------:|:--------------------------------:|
-| 0.3435        | 1.0   | 1324 | 0.4773          | {'precision': 0.7752857693295658} | {'recall': 0.7645053475935829} | {'f1': 0.7692714884696017} | {'accuracy': 0.7990936555891238} |
+| Training Loss | Epoch | Step | Validation Loss | Precision                         | Recall                         | F1                       | Accuracy                         |
+|:-------------:|:-----:|:----:|:---------------:|:---------------------------------:|:------------------------------:|:------------------------:|:--------------------------------:|
+| 0.4592        | 1.0   | 1324 | 0.4525          | {'precision': 0.7764142452209191} | {'recall': 0.7645002056766763} | {'f1': 0.76970663621118} | {'accuracy': 0.7998489425981873} |
 
 
 ### Framework versions

model.safetensors

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runs/Mar01_21-35-34_af2fc9e78ea9/events.out.tfevents.1709328934.af2fc9e78ea9.2377.3

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