Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: gokulsrinivasagan/bert_tiny_lda_100_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_tiny_lda_100_v1_sst2
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE SST2
-      type: glue
-      args: sst2
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.5091743119266054
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_tiny_lda_100_v1_sst2
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1) on the GLUE SST2 dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6954
-- Accuracy: 0.5092
+- Loss: 0.6460
+- Accuracy: 0.8096
 
 ## Model description
 
@@ -52,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.001
+- learning_rate: 5e-05
 - train_batch_size: 256
 - eval_batch_size: 256
 - seed: 10
@@ -64,15 +49,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6923        | 1.0   | 264  | 0.6971          | 0.5092   |
-| 0.6871        | 2.0   | 528  | 0.7008          | 0.5092   |
-| 0.6868        | 3.0   | 792  | 0.6973          | 0.5092   |
-| 0.6868        | 4.0   | 1056 | 0.6954          | 0.5092   |
-| 0.6867        | 5.0   | 1320 | 0.6955          | 0.5092   |
-| 0.6866        | 6.0   | 1584 | 0.6971          | 0.5092   |
-| 0.6865        | 7.0   | 1848 | 0.6988          | 0.5092   |
-| 0.6865        | 8.0   | 2112 | 0.6990          | 0.5092   |
-| 0.6866        | 9.0   | 2376 | 0.6970          | 0.5092   |
+| 0.4292        | 1.0   | 264  | 0.4466          | 0.8050   |
+| 0.2589        | 2.0   | 528  | 0.4592          | 0.8154   |
+| 0.2007        | 3.0   | 792  | 0.4953          | 0.8131   |
+| 0.1652        | 4.0   | 1056 | 0.5380          | 0.8303   |
+| 0.137         | 5.0   | 1320 | 0.5538          | 0.8096   |
+| 0.1185        | 6.0   | 1584 | 0.6460          | 0.8096   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d25af8d92064f1994646bbf03bee8251c1707a97cf846529cffe2f6860c96f09
+oid sha256:4db5c266f24e7ae40e943b56528cf366a763306e3e0d91d29a980d2e0877789d
 size 131856744