End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - imdb
+metrics:
+- accuracy
 model-index:
 - name: distilbert_imdb_padding60model
-  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: 0.9334
 ---
 
 <!-- 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_padding60model
 
 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: 0.7595
+- Accuracy: 0.9334
 
 ## 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   | 0.6831          | 0.5130   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2373        | 1.0   | 1563  | 0.2252          | 0.9165   |
+| 0.1765        | 2.0   | 3126  | 0.2079          | 0.9274   |
+| 0.1139        | 3.0   | 4689  | 0.2956          | 0.9302   |
+| 0.0677        | 4.0   | 6252  | 0.3145          | 0.9261   |
+| 0.0337        | 5.0   | 7815  | 0.4048          | 0.9280   |
+| 0.0359        | 6.0   | 9378  | 0.4836          | 0.9296   |
+| 0.0229        | 7.0   | 10941 | 0.5211          | 0.9228   |
+| 0.0203        | 8.0   | 12504 | 0.5524          | 0.9280   |
+| 0.015         | 9.0   | 14067 | 0.5274          | 0.9291   |
+| 0.0214        | 10.0  | 15630 | 0.5787          | 0.9266   |
+| 0.0134        | 11.0  | 17193 | 0.5935          | 0.9299   |
+| 0.0075        | 12.0  | 18756 | 0.6236          | 0.9306   |
+| 0.0054        | 13.0  | 20319 | 0.6758          | 0.9279   |
+| 0.0057        | 14.0  | 21882 | 0.6801          | 0.9301   |
+| 0.0066        | 15.0  | 23445 | 0.7197          | 0.929    |
+| 0.0021        | 16.0  | 25008 | 0.7070          | 0.9321   |
+| 0.0014        | 17.0  | 26571 | 0.6949          | 0.9320   |
+| 0.0001        | 18.0  | 28134 | 0.7482          | 0.9319   |
+| 0.0014        | 19.0  | 29697 | 0.7587          | 0.9334   |
+| 0.0004        | 20.0  | 31260 | 0.7595          | 0.9334   |
 
 
 ### 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