End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: senthil2002/local_distilbert_finetune_model
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # local_distilbert_finetune_model
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [senthil2002/local_distilbert_finetune_model](https://huggingface.co/senthil2002/local_distilbert_finetune_model) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0625
-- Precision: 0.9248
-- Recall: 0.9348
-- F1: 0.9298
-- Accuracy: 0.9836
+- Loss: 0.0717
+- Precision: 0.9293
+- Recall: 0.9394
+- F1: 0.9343
+- Accuracy: 0.9845
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.2569        | 1.0   | 878  | 0.0729          | 0.8995    | 0.9176 | 0.9085 | 0.9793   |
-| 0.0504        | 2.0   | 1756 | 0.0622          | 0.9240    | 0.9308 | 0.9274 | 0.9829   |
-| 0.0313        | 3.0   | 2634 | 0.0625          | 0.9248    | 0.9348 | 0.9298 | 0.9836   |
+| 0.0293        | 1.0   | 878  | 0.0660          | 0.9257    | 0.9334 | 0.9295 | 0.9836   |
+| 0.013         | 2.0   | 1756 | 0.0727          | 0.9259    | 0.9374 | 0.9316 | 0.9837   |
+| 0.0098        | 3.0   | 2634 | 0.0717          | 0.9293    | 0.9394 | 0.9343 | 0.9845   |
 
 
 ### Framework versions

model.safetensors

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 size 265491548

runs/Feb21_08-26-31_5a4b0b8fbc14/events.out.tfevents.1708505998.5a4b0b8fbc14.180.2

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runs/Feb21_08-26-31_5a4b0b8fbc14/events.out.tfevents.1708506277.5a4b0b8fbc14.180.3

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