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_rte
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE RTE
-      type: glue
-      args: rte
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.5270758122743683
+  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_rte
 
-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 RTE 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: 0.6911
-- Accuracy: 0.5271
+- Loss: 0.8165
+- Accuracy: 0.5018
 
 ## 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
@@ -64,16 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.8226        | 1.0   | 10   | 0.7100          | 0.5271   |
-| 0.7009        | 2.0   | 20   | 0.7083          | 0.4729   |
-| 0.696         | 3.0   | 30   | 0.6956          | 0.4729   |
-| 0.695         | 4.0   | 40   | 0.6930          | 0.5271   |
-| 0.6933        | 5.0   | 50   | 0.6911          | 0.5271   |
-| 0.6964        | 6.0   | 60   | 0.6987          | 0.4729   |
-| 0.694         | 7.0   | 70   | 0.6922          | 0.5271   |
-| 0.6941        | 8.0   | 80   | 0.6952          | 0.4729   |
-| 0.6942        | 9.0   | 90   | 0.6926          | 0.5271   |
-| 0.6932        | 10.0  | 100  | 0.6937          | 0.4729   |
+| 0.7159        | 1.0   | 10   | 0.7091          | 0.4729   |
+| 0.6926        | 2.0   | 20   | 0.6925          | 0.4874   |
+| 0.6814        | 3.0   | 30   | 0.6944          | 0.5199   |
+| 0.6663        | 4.0   | 40   | 0.6978          | 0.5271   |
+| 0.6472        | 5.0   | 50   | 0.7425          | 0.5415   |
+| 0.6276        | 6.0   | 60   | 0.7315          | 0.5451   |
+| 0.5534        | 7.0   | 70   | 0.8165          | 0.5018   |
 
 
 ### Framework versions

logs/events.out.tfevents.1733327007.ki-g0008.1208741.26

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c5195d148b547c5c3cc589fa2553ec8843b3302c460313d0a905e8f1a598b94
-size 5610
+oid sha256:89f4b91eee0963438eeb883078b4f58c8c4b841f92691e946da971063f7cedd9
+size 9102

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8b4fb2510f13bb5b66e950ac44822c9b2f4e232e14f33356fe13ba29eb9fe6b0
+oid sha256:dac389aefbd97efcfea7b6cb88f856b6daf70ef988e4eab14bf6d4daaf0ea5a7
 size 131856744