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-abusive-comments-ta
+  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-abusive-comments-ta
+
+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: 1.3335
+- Accuracy: 0.6148
+- Precision: 0.0769
+- Recall: 0.125
+- F1: 0.0952
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.3249        | 1.0   | 186  | 1.3335          | 0.6176   | 0.0772    | 0.125  | 0.0955 |
+| 1.3468        | 2.0   | 372  | 1.3318          | 0.6176   | 0.0772    | 0.125  | 0.0955 |
+| 1.3534        | 3.0   | 558  | 1.3310          | 0.6176   | 0.0772    | 0.125  | 0.0955 |
+| 1.1991        | 4.0   | 744  | 1.3412          | 0.6176   | 0.0772    | 0.125  | 0.0955 |
+| 1.3534        | 5.0   | 930  | 1.3315          | 0.6176   | 0.0772    | 0.125  | 0.0955 |
+| 1.4725        | 6.0   | 1116 | 1.3313          | 0.6176   | 0.0772    | 0.125  | 0.0955 |
+| 1.3451        | 7.0   | 1302 | 1.3314          | 0.6176   | 0.0772    | 0.125  | 0.0955 |
+| 1.315         | 8.0   | 1488 | 1.3315          | 0.6176   | 0.0772    | 0.125  | 0.0955 |
+| 1.3157        | 9.0   | 1674 | 1.3324          | 0.6176   | 0.0772    | 0.125  | 0.0955 |
+| 1.2015        | 10.0  | 1860 | 1.3319          | 0.6176   | 0.0772    | 0.125  | 0.0955 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

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