Vishnou/distilbert_base_SST2

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased-finetuned-sst-2-english
+base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9151376146788991
+      value: 0.8967889908256881
 ---
 
 <!-- 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_SST2
 
-This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the sst2 dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the sst2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3690
-- Accuracy: 0.9151
+- Loss: 0.3718
+- Accuracy: 0.8968
 
 ## Model description
 
@@ -64,22 +64,22 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1335        | 0.06  | 500  | 0.5579          | 0.8911   |
-| 0.1666        | 0.12  | 1000 | 0.5413          | 0.8876   |
-| 0.1778        | 0.18  | 1500 | 0.7077          | 0.8544   |
-| 0.1746        | 0.24  | 2000 | 0.5727          | 0.875    |
-| 0.1632        | 0.3   | 2500 | 0.4972          | 0.8979   |
-| 0.1675        | 0.36  | 3000 | 0.4742          | 0.8991   |
-| 0.1573        | 0.42  | 3500 | 0.4943          | 0.8956   |
-| 0.1525        | 0.48  | 4000 | 0.4907          | 0.8819   |
-| 0.1394        | 0.53  | 4500 | 0.5010          | 0.8899   |
-| 0.1458        | 0.59  | 5000 | 0.5461          | 0.8876   |
-| 0.1588        | 0.65  | 5500 | 0.3364          | 0.9094   |
-| 0.1373        | 0.71  | 6000 | 0.4198          | 0.9163   |
-| 0.138         | 0.77  | 6500 | 0.3466          | 0.9128   |
-| 0.1383        | 0.83  | 7000 | 0.4064          | 0.9094   |
-| 0.1371        | 0.89  | 7500 | 0.4083          | 0.9002   |
-| 0.1373        | 0.95  | 8000 | 0.3690          | 0.9151   |
+| 0.4401        | 0.06  | 500  | 0.3732          | 0.8417   |
+| 0.3465        | 0.12  | 1000 | 0.3451          | 0.8761   |
+| 0.3408        | 0.18  | 1500 | 0.3465          | 0.8612   |
+| 0.3059        | 0.24  | 2000 | 0.4580          | 0.8589   |
+| 0.2974        | 0.3   | 2500 | 0.3338          | 0.8830   |
+| 0.3023        | 0.36  | 3000 | 0.4487          | 0.8475   |
+| 0.2636        | 0.42  | 3500 | 0.4330          | 0.8888   |
+| 0.2558        | 0.48  | 4000 | 0.4193          | 0.8876   |
+| 0.2466        | 0.53  | 4500 | 0.4343          | 0.8945   |
+| 0.2393        | 0.59  | 5000 | 0.4935          | 0.875    |
+| 0.2279        | 0.65  | 5500 | 0.3818          | 0.8876   |
+| 0.2181        | 0.71  | 6000 | 0.4003          | 0.8968   |
+| 0.2245        | 0.77  | 6500 | 0.3496          | 0.9048   |
+| 0.2279        | 0.83  | 7000 | 0.3759          | 0.9014   |
+| 0.2152        | 0.89  | 7500 | 0.4037          | 0.8899   |
+| 0.2174        | 0.95  | 8000 | 0.3718          | 0.8968   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:76de8aff7f77a5d1834f1748e7eafc02a2027a16ef580e0ed71a1d542714a1c8
+oid sha256:9235e53ceca97ef2fab48767df760c45bcb2f3a81b638ea4a9a6025c28ba2bf4
 size 267832560