kalai_bert_model_test_3

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: KalaiselvanD/kalai_bert_model_test_2
+base_model: albert/albert-base-v2
 tags:
 - generated_from_trainer
 metrics:
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # model_bert_7000_32
 
-This model is a fine-tuned version of [KalaiselvanD/kalai_bert_model_test_2](https://huggingface.co/KalaiselvanD/kalai_bert_model_test_2) on the None dataset.
+This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1032
+- Loss: 0.0215
 - Accuracy: 1.0
 
 ## Model description
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 4    | 0.2469          | 1.0      |
-| No log        | 2.0   | 8    | 0.2295          | 0.9286   |
-| No log        | 3.0   | 12   | 0.1424          | 1.0      |
-| No log        | 4.0   | 16   | 0.1172          | 1.0      |
-| No log        | 5.0   | 20   | 0.1032          | 1.0      |
+| No log        | 1.0   | 25   | 0.4051          | 0.92     |
+| No log        | 2.0   | 50   | 0.1586          | 0.97     |
+| No log        | 3.0   | 75   | 0.0592          | 0.98     |
+| No log        | 4.0   | 100  | 0.0215          | 1.0      |
+| No log        | 5.0   | 125  | 0.0514          | 0.98     |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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