Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: gokulsrinivasagan/bert_base_lda_100_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_lda_100_v1_mnli
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE MNLI
-      type: glue
-      args: mnli
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.3295362082994304
+  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_base_lda_100_v1_mnli
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_100_v1) on the GLUE MNLI dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_100_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0962
-- Accuracy: 0.3295
+- Loss: 1.0094
+- Accuracy: 0.7111
 
 ## 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
@@ -64,20 +49,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.1038        | 1.0   | 1534  | 1.0993          | 0.3274   |
-| 1.0989        | 2.0   | 3068  | 1.0990          | 0.3274   |
-| 1.0987        | 3.0   | 4602  | 1.1015          | 0.3274   |
-| 1.0985        | 4.0   | 6136  | 1.1016          | 0.3182   |
-| 1.0986        | 5.0   | 7670  | 1.0989          | 0.3545   |
-| 1.0987        | 6.0   | 9204  | 1.0989          | 0.3545   |
-| 1.0985        | 7.0   | 10738 | 1.0968          | 0.3182   |
-| 1.0986        | 8.0   | 12272 | 1.0991          | 0.3182   |
-| 1.0987        | 9.0   | 13806 | 1.0962          | 0.3274   |
-| 1.0986        | 10.0  | 15340 | 1.0992          | 0.3274   |
-| 1.0985        | 11.0  | 16874 | 1.0990          | 0.3274   |
-| 1.0984        | 12.0  | 18408 | 1.0991          | 0.3182   |
-| 1.0985        | 13.0  | 19942 | 1.0965          | 0.3182   |
-| 1.0987        | 14.0  | 21476 | 1.0987          | 0.3274   |
+| 0.9588        | 1.0   | 1534  | 0.8420          | 0.6249   |
+| 0.7857        | 2.0   | 3068  | 0.7451          | 0.6808   |
+| 0.6825        | 3.0   | 4602  | 0.7162          | 0.6976   |
+| 0.5973        | 4.0   | 6136  | 0.7056          | 0.7113   |
+| 0.5208        | 5.0   | 7670  | 0.7460          | 0.7144   |
+| 0.4464        | 6.0   | 9204  | 0.7907          | 0.7078   |
+| 0.3775        | 7.0   | 10738 | 0.8362          | 0.7172   |
+| 0.316         | 8.0   | 12272 | 0.9463          | 0.7101   |
+| 0.2617        | 9.0   | 13806 | 1.0094          | 0.7111   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:62fb0e80719383fc42a7d0a18d706feb9e990e25b6f7c634813749005c4cbbc6
+oid sha256:4d11281a9d66eb2828efa8893db610ddaec37103ddf75b71d1e4af3f0303507c
 size 437956332