End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - imdb
+metrics:
+- accuracy
 model-index:
 - name: distilbert_imdb_padding70model
-  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: 0.93036
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert_imdb_padding70model
 
 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: 0.7503
+- Accuracy: 0.9304
 
 ## Model description
 
@@ -40,18 +58,37 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 0.01
+- num_epochs: 20
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.01  | 16   | 0.6836          | 0.5516   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2385        | 1.0   | 1563  | 0.2404          | 0.9121   |
+| 0.1808        | 2.0   | 3126  | 0.2250          | 0.9273   |
+| 0.1148        | 3.0   | 4689  | 0.3192          | 0.9253   |
+| 0.0711        | 4.0   | 6252  | 0.3479          | 0.9272   |
+| 0.0566        | 5.0   | 7815  | 0.4082          | 0.9260   |
+| 0.0409        | 6.0   | 9378  | 0.4675          | 0.9268   |
+| 0.028         | 7.0   | 10941 | 0.4345          | 0.9268   |
+| 0.0209        | 8.0   | 12504 | 0.5870          | 0.9224   |
+| 0.0228        | 9.0   | 14067 | 0.4920          | 0.9269   |
+| 0.0132        | 10.0  | 15630 | 0.5973          | 0.9248   |
+| 0.013         | 11.0  | 17193 | 0.5962          | 0.9282   |
+| 0.0127        | 12.0  | 18756 | 0.6695          | 0.9245   |
+| 0.0028        | 13.0  | 20319 | 0.7241          | 0.9269   |
+| 0.0102        | 14.0  | 21882 | 0.5935          | 0.9298   |
+| 0.0033        | 15.0  | 23445 | 0.6654          | 0.9287   |
+| 0.0039        | 16.0  | 25008 | 0.6902          | 0.9299   |
+| 0.0012        | 17.0  | 26571 | 0.7281          | 0.9281   |
+| 0.0023        | 18.0  | 28134 | 0.7369          | 0.9306   |
+| 0.0001        | 19.0  | 29697 | 0.7462          | 0.9307   |
+| 0.0019        | 20.0  | 31260 | 0.7503          | 0.9304   |
 
 
 ### Framework versions
 
-- Transformers 4.32.1
-- Pytorch 2.1.1
-- Datasets 2.12.0
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
 - Tokenizers 0.13.3