Tamil_BERT_for_TamilQC

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [l3cube-pune/tamil-bert](https://huggingface.co/l3cube-pune/tamil-bert) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4260
-- Precision: 0.9180
-- Recall: 0.9178
-- Accuracy: 0.9178
-- F1-score: 0.9178
+- Loss: 0.3564
+- Precision: 0.9226
+- Recall: 0.9218
+- Accuracy: 0.9218
+- F1-score: 0.9220
 
 ## Model description
 
@@ -48,22 +48,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 8
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1-score |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
-| 1.53          | 1.0   | 305  | 1.2013          | 0.8733    | 0.8858 | 0.8858   | 0.8781   |
-| 0.9243        | 2.0   | 610  | 0.6998          | 0.8958    | 0.9078 | 0.9078   | 0.9012   |
-| 0.4855        | 3.0   | 915  | 0.4754          | 0.8848    | 0.8958 | 0.8958   | 0.8889   |
-| 0.2744        | 4.0   | 1220 | 0.4154          | 0.8906    | 0.9038 | 0.9038   | 0.8961   |
-| 0.1852        | 5.0   | 1525 | 0.4133          | 0.8852    | 0.8958 | 0.8958   | 0.8894   |
-| 0.1281        | 6.0   | 1830 | 0.4503          | 0.9030    | 0.8998 | 0.8998   | 0.9004   |
-| 0.0938        | 7.0   | 2135 | 0.4126          | 0.9148    | 0.9138 | 0.9138   | 0.9141   |
-| 0.0699        | 8.0   | 2440 | 0.3966          | 0.9201    | 0.9198 | 0.9198   | 0.9199   |
-| 0.0595        | 9.0   | 2745 | 0.4166          | 0.9183    | 0.9178 | 0.9178   | 0.9180   |
-| 0.0523        | 10.0  | 3050 | 0.4260          | 0.9180    | 0.9178 | 0.9178   | 0.9178   |
+| 1.534         | 1.0   | 305  | 1.2125          | 0.8686    | 0.8778 | 0.8778   | 0.8701   |
+| 0.937         | 2.0   | 610  | 0.7374          | 0.8869    | 0.8958 | 0.8958   | 0.8899   |
+| 0.5335        | 3.0   | 915  | 0.4742          | 0.8959    | 0.9078 | 0.9078   | 0.9007   |
+| 0.3097        | 4.0   | 1220 | 0.3972          | 0.9004    | 0.9138 | 0.9138   | 0.9064   |
+| 0.2083        | 5.0   | 1525 | 0.3869          | 0.9103    | 0.9058 | 0.9058   | 0.9018   |
+| 0.1535        | 6.0   | 1830 | 0.4181          | 0.9115    | 0.9078 | 0.9078   | 0.9087   |
+| 0.1222        | 7.0   | 2135 | 0.3576          | 0.9243    | 0.9238 | 0.9238   | 0.9240   |
+| 0.1002        | 8.0   | 2440 | 0.3564          | 0.9226    | 0.9218 | 0.9218   | 0.9220   |
 
 
 ### Framework versions

model.safetensors

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runs/May14_07-11-21_da90288f2825/events.out.tfevents.1715670690.da90288f2825.157.3

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training_args.bin

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