Training completed!

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: patnelt60/distilbert-base-uncased-finetuned-clinc
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8461290322580645
+      value: 0.9267741935483871
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-finetuned-clinc
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
+This model is a fine-tuned version of [patnelt60/distilbert-base-uncased-finetuned-clinc](https://huggingface.co/patnelt60/distilbert-base-uncased-finetuned-clinc) on the clinc_oos dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2616
-- Accuracy: 0.8461
+- Loss: 0.1904
+- Accuracy: 0.9268
 
 ## Model description
 
@@ -64,16 +64,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 40   | 2.8668          | 0.1906   |
-| No log        | 2.0   | 80   | 2.5167          | 0.5610   |
-| No log        | 3.0   | 120  | 2.1945          | 0.6932   |
-| No log        | 4.0   | 160  | 1.9222          | 0.7497   |
-| No log        | 5.0   | 200  | 1.7033          | 0.7877   |
-| No log        | 6.0   | 240  | 1.5338          | 0.8090   |
-| No log        | 7.0   | 280  | 1.4084          | 0.8265   |
-| 2.1094        | 8.0   | 320  | 1.3259          | 0.8339   |
-| 2.1094        | 9.0   | 360  | 1.2770          | 0.8439   |
-| 2.1094        | 10.0  | 400  | 1.2616          | 0.8461   |
+| No log        | 1.0   | 40   | 0.4572          | 0.8619   |
+| No log        | 2.0   | 80   | 0.3775          | 0.8881   |
+| No log        | 3.0   | 120  | 0.3184          | 0.9013   |
+| No log        | 4.0   | 160  | 0.2753          | 0.9110   |
+| No log        | 5.0   | 200  | 0.2441          | 0.9187   |
+| No log        | 6.0   | 240  | 0.2224          | 0.9232   |
+| No log        | 7.0   | 280  | 0.2073          | 0.9248   |
+| 0.3426        | 8.0   | 320  | 0.1982          | 0.9268   |
+| 0.3426        | 9.0   | 360  | 0.1923          | 0.9265   |
+| 0.3426        | 10.0  | 400  | 0.1904          | 0.9268   |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilbert-base-uncased",
+  "_name_or_path": "patnelt60/distilbert-base-uncased-finetuned-clinc",
   "activation": "gelu",
   "architectures": [
     "DistilBertForSequenceClassification"

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:567ced3837dd281b7962fe34838fcff571fb2b542a4beeabd07ecd4162908478
+oid sha256:73bfbfe0077d1362bdfd8b7e66536f94930e12400570f19b3b5fd922ad4e5ed7
 size 268314282

tokenizer_config.json

@@ -3,11 +3,15 @@
   "cls_token": "[CLS]",
   "do_lower_case": true,
   "mask_token": "[MASK]",
+  "max_length": 512,
   "model_max_length": 512,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
+  "stride": 0,
   "strip_accents": null,
   "tokenize_chinese_chars": true,
   "tokenizer_class": "DistilBertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "[UNK]"
 }

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:cae2c5b528d2fadf0f1c803519efd155c925ee775c81bcc6db5977170fe63efc
-size 4600
+oid sha256:f8a870ebbd9d0512d0511e29138cf6ac696c1406020acd043129c6e9b6afcce2
+size 4536