End of training

README.md

@@ -3,12 +3,30 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 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: 0.87
+    - name: F1
+      type: f1
+      value: 0.8721311475409836
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,11 +34,11 @@ 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 an unknown dataset.
+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: 0.3208
+- Loss: 0.3333
 - Accuracy: 0.87
-- F1: 0.8730
+- F1: 0.8721
 
 ## Model description
 
@@ -55,4 +73,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu118
+- Datasets 2.15.0
 - Tokenizers 0.15.0

runs/Nov23_02-30-11_46da0f8b4b5b/events.out.tfevents.1700706923.46da0f8b4b5b.262.1

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