End of training

README.md

@@ -3,30 +3,12 @@ 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:
-  - 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: 0.8966666666666666
-    - name: F1
-      type: f1
-      value: 0.8976897689768976
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,11 +16,11 @@ 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 the imdb dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3977
-- Accuracy: 0.8967
-- F1: 0.8977
+- Loss: 0.9324
+- Accuracy: 0.64
+- F1: 0.64
 
 ## Model description
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aae664006abd2ce24ba67950280e78178fb65b11224697ce4ea1778fa123561d
+oid sha256:6b4ad068bca6bb313035ac6f779c1b16b33556e67b0d9cff5afc2c9edd42b806
 size 267858605