End of training

README.md

@@ -5,9 +5,28 @@ tags:
 - generated_from_trainer
 datasets:
 - imdb
+metrics:
+- accuracy
+- f1
 model-index:
 - name: finetuning-sentiment-model-3000-samples
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: imdb
+      type: imdb
+      config: plain_text
+      split: test
+      args: plain_text
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8833333333333333
+    - name: F1
+      type: f1
+      value: 0.8852459016393444
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +35,10 @@ should probably proofread and complete it, then remove this comment. -->
 # finetuning-sentiment-model-3000-samples
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3289
+- Accuracy: 0.8833
+- F1: 0.8852
 
 ## Model description
 
@@ -42,6 +65,10 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.35.2

runs/Nov21_15-55-37_09c9515811c8/events.out.tfevents.1700582462.09c9515811c8.778.1

@@ -0,0 +1,3 @@
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+size 457