Model save

README.md

@@ -1,32 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: gokulsrinivasagan/bert_tiny_lda_20_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert_tiny_lda_20_v1_qqp
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE QQP
-      type: glue
-      args: qqp
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.6318327974276527
-    - name: F1
-      type: f1
-      value: 0.0
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_tiny_lda_20_v1_qqp
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_20_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_20_v1) on the GLUE QQP dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_20_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_20_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6569
-- Accuracy: 0.6318
-- F1: 0.0
-- Combined Score: 0.3159
+- Loss: 0.4276
+- Accuracy: 0.8535
+- F1: 0.7964
+- Combined Score: 0.8249
 
 ## Model description
 
@@ -58,7 +40,7 @@ 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
@@ -68,16 +50,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1  | Combined Score |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---:|:--------------:|
-| 0.6612        | 1.0   | 1422  | 0.6582          | 0.6318   | 0.0 | 0.3159         |
-| 0.659         | 2.0   | 2844  | 0.6576          | 0.6318   | 0.0 | 0.3159         |
-| 0.6587        | 3.0   | 4266  | 0.6569          | 0.6318   | 0.0 | 0.3159         |
-| 0.6585        | 4.0   | 5688  | 0.6574          | 0.6318   | 0.0 | 0.3159         |
-| 0.6585        | 5.0   | 7110  | 0.6574          | 0.6318   | 0.0 | 0.3159         |
-| 0.6585        | 6.0   | 8532  | 0.6582          | 0.6318   | 0.0 | 0.3159         |
-| 0.6585        | 7.0   | 9954  | 0.6573          | 0.6318   | 0.0 | 0.3159         |
-| 0.6585        | 8.0   | 11376 | 0.6573          | 0.6318   | 0.0 | 0.3159         |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Combined Score |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
+| 0.4896        | 1.0   | 1422  | 0.4397          | 0.7902   | 0.6817 | 0.7359         |
+| 0.3891        | 2.0   | 2844  | 0.3806          | 0.8247   | 0.7674 | 0.7960         |
+| 0.3332        | 3.0   | 4266  | 0.3641          | 0.8355   | 0.7821 | 0.8088         |
+| 0.29          | 4.0   | 5688  | 0.3666          | 0.8448   | 0.7868 | 0.8158         |
+| 0.2535        | 5.0   | 7110  | 0.3724          | 0.8485   | 0.7977 | 0.8231         |
+| 0.2212        | 6.0   | 8532  | 0.3716          | 0.8517   | 0.8042 | 0.8280         |
+| 0.1947        | 7.0   | 9954  | 0.4039          | 0.8528   | 0.8050 | 0.8289         |
+| 0.1711        | 8.0   | 11376 | 0.4276          | 0.8535   | 0.7964 | 0.8249         |
 
 
 ### Framework versions

logs/events.out.tfevents.1733323974.ki-g0008.1207389.24

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cc8b9ebeca2e61cf0ac1a47f068c4dd663ed4151c2c437d4ae4b4e23c0c4ec33
-size 9544
+oid sha256:1bf8ec01ff1a5e7dc17a1d26dc8db1888888ac8beb8ab09d885f000b627e6339
+size 10536

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d2772faa910820bf2f6a7c0eb012b1114f9443803dab9a16a5fa7549e5980cd1
+oid sha256:3a0bf24ee3d1eda040885b446aab77cafa82e036e1fedc0d42d6d7541f4dae3e
 size 131856744