End of training

README.md

@@ -2,6 +2,8 @@
 base_model: neal49/distilbert-sst2-runglue
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: dnd
   results: []
@@ -13,6 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 # dnd
 
 This model is a fine-tuned version of [neal49/distilbert-sst2-runglue](https://huggingface.co/neal49/distilbert-sst2-runglue) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4907
+- Accuracy: 0.8246
 
 ## Model description
 
@@ -31,19 +36,48 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-08
+- learning_rate: 2e-06
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 30
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 15   | 0.4952          | 0.8421   |
+| No log        | 1.0   | 15   | 0.6813          | 0.5789   |
+| No log        | 2.0   | 30   | 0.6725          | 0.5789   |
+| No log        | 3.0   | 45   | 0.6588          | 0.6140   |
+| No log        | 4.0   | 60   | 0.6536          | 0.6140   |
+| No log        | 5.0   | 75   | 0.6524          | 0.6140   |
+| No log        | 6.0   | 90   | 0.6426          | 0.6140   |
+| No log        | 7.0   | 105  | 0.6333          | 0.6316   |
+| No log        | 8.0   | 120  | 0.6148          | 0.6491   |
+| No log        | 9.0   | 135  | 0.6081          | 0.6491   |
+| No log        | 10.0  | 150  | 0.5724          | 0.7018   |
+| No log        | 11.0  | 165  | 0.5984          | 0.6842   |
+| No log        | 12.0  | 180  | 0.5328          | 0.7368   |
+| No log        | 13.0  | 195  | 0.5419          | 0.7719   |
+| No log        | 14.0  | 210  | 0.5271          | 0.7719   |
+| No log        | 15.0  | 225  | 0.5188          | 0.7719   |
+| No log        | 16.0  | 240  | 0.5283          | 0.7719   |
+| No log        | 17.0  | 255  | 0.5012          | 0.7719   |
+| No log        | 18.0  | 270  | 0.4863          | 0.7895   |
+| No log        | 19.0  | 285  | 0.5329          | 0.7895   |
+| No log        | 20.0  | 300  | 0.4861          | 0.8070   |
+| No log        | 21.0  | 315  | 0.5065          | 0.8246   |
+| No log        | 22.0  | 330  | 0.4864          | 0.8070   |
+| No log        | 23.0  | 345  | 0.5060          | 0.8246   |
+| No log        | 24.0  | 360  | 0.4752          | 0.8246   |
+| No log        | 25.0  | 375  | 0.4983          | 0.8246   |
+| No log        | 26.0  | 390  | 0.4925          | 0.8246   |
+| No log        | 27.0  | 405  | 0.4774          | 0.8246   |
+| No log        | 28.0  | 420  | 0.4804          | 0.8246   |
+| No log        | 29.0  | 435  | 0.4927          | 0.8246   |
+| No log        | 30.0  | 450  | 0.4907          | 0.8246   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0e9a43dec7440b1de58ca2b20ce864774f732e4356528f3b7b2ee3d9de56a76a
+oid sha256:8c9465e05d7c1d66bd0d5289ae88b0db0ed71ffb0595516203fb77dd4758c918
 size 267855978