End of training

README.md

@@ -0,0 +1,78 @@
+---
+library_name: transformers
+license: mit
+base_model: ai4bharat/indic-bert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: indic-bert-roman-urdu-binary
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# indic-bert-roman-urdu-binary
+
+This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5183
+- Accuracy: 0.8847
+- Precision: 0.8851
+- Recall: 0.8831
+- F1: 0.8839
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 128
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.6103        | 0.9912 | 56   | 0.5319          | 0.7366   | 0.7534    | 0.7445 | 0.7355 |
+| 0.3576        | 2.0    | 113  | 0.3626          | 0.8427   | 0.8418    | 0.8428 | 0.8422 |
+| 0.2913        | 2.9912 | 169  | 0.3478          | 0.8589   | 0.8582    | 0.8585 | 0.8583 |
+| 0.2351        | 4.0    | 226  | 0.3812          | 0.8564   | 0.8755    | 0.8486 | 0.8520 |
+| 0.1342        | 4.9912 | 282  | 0.4025          | 0.8652   | 0.8678    | 0.8619 | 0.8636 |
+| 0.0733        | 6.0    | 339  | 0.4448          | 0.8639   | 0.8638    | 0.8625 | 0.8630 |
+| 0.0325        | 6.9912 | 395  | 0.5974          | 0.8589   | 0.8657    | 0.8540 | 0.8565 |
+| 0.0308        | 8.0    | 452  | 0.6238          | 0.8589   | 0.8588    | 0.8575 | 0.8580 |
+| 0.01          | 8.9912 | 508  | 0.6391          | 0.8664   | 0.8693    | 0.8631 | 0.8649 |
+| 0.0091        | 9.9115 | 560  | 0.6417          | 0.8552   | 0.8548    | 0.8540 | 0.8543 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f2eb376d127522700e8689393a83246db50d8dfca86ec3743556038e45c15d09
+oid sha256:2553cf11f3d29f0b45d49de8be792438f292f4d4f2ce302dd667ab7a0637d525
 size 133783952