End of training

README.md

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+---
+library_name: transformers
+license: cc-by-4.0
+base_model: l3cube-pune/indic-sentence-bert-nli
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: indic-sentence-bert-nli-hate-mr
+  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-sentence-bert-nli-hate-mr
+
+This model is a fine-tuned version of [l3cube-pune/indic-sentence-bert-nli](https://huggingface.co/l3cube-pune/indic-sentence-bert-nli) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1222
+- Accuracy: 0.9732
+- Precision: 0.9733
+- Recall: 0.9732
+- F1: 0.9732
+
+## 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: 16
+- eval_batch_size: 128
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.6323        | 1.0   | 61   | 0.6216          | 0.6819   | 0.6951    | 0.6816 | 0.6762 |
+| 0.6538        | 2.0   | 122  | 0.6064          | 0.6843   | 0.7260    | 0.6849 | 0.6695 |
+| 0.478         | 3.0   | 183  | 0.6003          | 0.7060   | 0.7076    | 0.7059 | 0.7054 |
+| 0.3915        | 4.0   | 244  | 0.5929          | 0.7373   | 0.748     | 0.7376 | 0.7346 |
+| 0.3288        | 5.0   | 305  | 0.6091          | 0.7470   | 0.7560    | 0.7472 | 0.7448 |
+| 0.2425        | 6.0   | 366  | 0.6779          | 0.7301   | 0.7344    | 0.7300 | 0.7288 |
+| 0.1878        | 7.0   | 427  | 0.6804          | 0.7422   | 0.7423    | 0.7422 | 0.7421 |
+| 0.1156        | 8.0   | 488  | 0.7229          | 0.7614   | 0.7616    | 0.7615 | 0.7614 |
+| 0.1454        | 9.0   | 549  | 0.8009          | 0.7494   | 0.7528    | 0.7493 | 0.7485 |
+| 0.1152        | 10.0  | 610  | 0.8109          | 0.7566   | 0.7571    | 0.7566 | 0.7565 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

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