paduraru2009/distilbert-base-uncased-sentimentanalysis-demo2

README.md

@@ -17,8 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5479
-- Accuracy: {'accuracy': 0.7540666666666667}
+- Loss: 0.6215
+- Accuracy: {'accuracy': 0.8248666666666666}
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy                         |
 |:-------------:|:-----:|:-----:|:---------------:|:--------------------------------:|
-| 0.6425        | 1.0   | 7500  | 0.5937          | {'accuracy': 0.8124}             |
-| 0.6312        | 2.0   | 15000 | 0.6853          | {'accuracy': 0.6939}             |
-| 0.6127        | 3.0   | 22500 | 0.5976          | {'accuracy': 0.7106333333333333} |
-| 0.6043        | 4.0   | 30000 | 0.5694          | {'accuracy': 0.7357}             |
-| 0.5742        | 5.0   | 37500 | 0.6108          | {'accuracy': 0.7456333333333334} |
-| 0.5527        | 6.0   | 45000 | 0.5915          | {'accuracy': 0.7628333333333334} |
-| 0.615         | 7.0   | 52500 | 0.5992          | {'accuracy': 0.7109333333333333} |
-| 0.5847        | 8.0   | 60000 | 0.5428          | {'accuracy': 0.7357333333333334} |
-| 0.5767        | 9.0   | 67500 | 0.5650          | {'accuracy': 0.7488333333333334} |
-| 0.5463        | 10.0  | 75000 | 0.5479          | {'accuracy': 0.7540666666666667} |
+| 0.4666        | 1.0   | 7500  | 0.5550          | {'accuracy': 0.8414}             |
+| 0.537         | 2.0   | 15000 | 0.5152          | {'accuracy': 0.8277666666666667} |
+| 0.5576        | 3.0   | 22500 | 0.4929          | {'accuracy': 0.8178}             |
+| 0.5947        | 4.0   | 30000 | 0.4912          | {'accuracy': 0.8104}             |
+| 0.5841        | 5.0   | 37500 | 0.5970          | {'accuracy': 0.8050666666666667} |
+| 0.6447        | 6.0   | 45000 | 0.6422          | {'accuracy': 0.8114333333333333} |
+| 0.5955        | 7.0   | 52500 | 0.5771          | {'accuracy': 0.8209}             |
+| 0.5419        | 8.0   | 60000 | 0.5765          | {'accuracy': 0.821}              |
+| 0.5966        | 9.0   | 67500 | 0.6055          | {'accuracy': 0.8230666666666666} |
+| 0.5417        | 10.0  | 75000 | 0.6215          | {'accuracy': 0.8248666666666666} |
 
 
 ### Framework versions

adapter_config.json

@@ -16,7 +16,6 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_lin",
     "q_lin"
   ],
   "task_type": "SEQ_CLS"

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:50732b4f60cc53eb80b82376f94647567ab4577f778b706ac86550d20c4803eb
-size 2673602
+oid sha256:b3bddebed043c0f4ca5a603b8ae757bd3eee20d0dfddc0a335479262521fcc4c
+size 2522142

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b0f386383755b70794e1581e72fde2132b94a2577fd8de37914815c943a0c49
+oid sha256:83e331e18a073a08a75ce573d20272058a9b33781b8322096ed55e49d6a3a902
 size 4536