End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.93124
+      value: 0.92484
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.2340
-- Accuracy: 0.9312
+- Accuracy: 0.9248
+- Loss: 0.6918
 
 ## Model description
 
@@ -58,14 +58,35 @@ 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: 2
+- num_epochs: 20
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2227        | 1.0   | 1563 | 0.2214          | 0.9217   |
-| 0.1325        | 2.0   | 3126 | 0.2340          | 0.9312   |
+| Training Loss | Epoch | Step  | Accuracy | Validation Loss |
+|:-------------:|:-----:|:-----:|:--------:|:---------------:|
+| 0.2227        | 1.0   | 1563  | 0.9217   | 0.2214          |
+| 0.1325        | 2.0   | 3126  | 0.9312   | 0.2340          |
+| 0.1433        | 3.0   | 4689  | 0.9273   | 0.2143          |
+| 0.1093        | 4.0   | 6252  | 0.9267   | 0.3209          |
+| 0.0601        | 5.0   | 7815  | 0.9276   | 0.3734          |
+| 0.0497        | 6.0   | 9378  | 0.9174   | 0.4883          |
+| 0.0632        | 7.0   | 10941 | 0.9169   | 0.4722          |
+| 0.0301        | 8.0   | 12504 | 0.9048   | 0.5964          |
+| 0.0292        | 9.0   | 14067 | 0.9261   | 0.4406          |
+| 0.0119        | 10.0  | 15630 | 0.9264   | 0.5227          |
+| 0.0218        | 11.0  | 17193 | 0.9294   | 0.5665          |
+| 0.0161        | 12.0  | 18756 | 0.9276   | 0.5829          |
+| 0.0068        | 13.0  | 20319 | 0.928    | 0.5820          |
+| 0.0265        | 14.0  | 21882 | 0.9229   | 0.5842          |
+| 0.0098        | 15.0  | 23445 | 0.9283   | 0.6034          |
+| 0.0081        | 16.0  | 25008 | 0.9251   | 0.6624          |
+| 0.0062        | 17.0  | 26571 | 0.9138   | 0.5561          |
+| 0.0153        | 18.0  | 28134 | 0.9223   | 0.6722          |
+| 0.0213        | 19.0  | 29697 | 0.9233   | 0.6735          |
+| 0.0148        | 20.0  | 31260 | 0.9283   | 0.5918          |
+| 0.0076        | 21.0  | 32823 | 0.9248   | 0.7200          |
+| 0.0088        | 22.0  | 34386 | 0.9221   | 0.6554          |
+| 0.0072        | 23.0  | 35949 | 0.9248   | 0.6918          |
 
 
 ### Framework versions

config.json

@@ -22,7 +22,6 @@
   "n_heads": 12,
   "n_layers": 6,
   "pad_token_id": 0,
-  "problem_type": "single_label_classification",
   "qa_dropout": 0.1,
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c476843b937146bd4b76550d4a2afaf9202b724c471a33d2b10b5869a4d91c4
+oid sha256:159036f3c61aa5496b4ba556dd488644ad96bae42fb22c4b9269e61d29714b9c
 size 4091