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sentence_splitter_final_v2

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/canine-s
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: sentence_splitter_final_v2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # sentence_splitter_final_v2
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+
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+ This model is a fine-tuned version of [google/canine-s](https://huggingface.co/google/canine-s) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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+ - Precision: 0.8
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+ - Recall: 1.0
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+ - F1: 0.8889
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+ - Accuracy: 1.0000
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 25
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 95 | 0.0037 | 0.0690 | 0.5 | 0.1212 | 0.9988 |
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+ | No log | 2.0 | 190 | 0.0022 | 0.0909 | 1.0 | 0.1667 | 0.9993 |
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+ | No log | 3.0 | 285 | 0.0014 | 0.1333 | 1.0 | 0.2353 | 0.9995 |
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+ | No log | 4.0 | 380 | 0.0010 | 0.1905 | 1.0 | 0.32 | 0.9996 |
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+ | No log | 5.0 | 475 | 0.0008 | 0.25 | 1.0 | 0.4 | 0.9997 |
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+ | 0.0096 | 6.0 | 570 | 0.0004 | 0.3636 | 1.0 | 0.5333 | 0.9998 |
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+ | 0.0096 | 7.0 | 665 | 0.0004 | 0.2222 | 1.0 | 0.3636 | 0.9999 |
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+ | 0.0096 | 8.0 | 760 | 0.0002 | 0.4 | 1.0 | 0.5714 | 0.9999 |
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+ | 0.0096 | 9.0 | 855 | 0.0003 | 0.1905 | 1.0 | 0.32 | 0.9999 |
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+ | 0.0096 | 10.0 | 950 | 0.0003 | 0.2105 | 1.0 | 0.3478 | 0.9999 |
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+ | 0.0008 | 11.0 | 1045 | 0.0001 | 0.3333 | 1.0 | 0.5 | 1.0000 |
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+ | 0.0008 | 12.0 | 1140 | 0.0001 | 0.5 | 1.0 | 0.6667 | 1.0000 |
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+ | 0.0008 | 13.0 | 1235 | 0.0001 | 0.4444 | 1.0 | 0.6154 | 1.0000 |
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+ | 0.0008 | 14.0 | 1330 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
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+ | 0.0008 | 15.0 | 1425 | 0.0000 | 0.6667 | 1.0 | 0.8 | 1.0000 |
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+ | 0.0003 | 16.0 | 1520 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
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+ | 0.0003 | 17.0 | 1615 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
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+ | 0.0003 | 18.0 | 1710 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
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+ | 0.0003 | 19.0 | 1805 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
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+ | 0.0003 | 20.0 | 1900 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
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+ | 0.0003 | 21.0 | 1995 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
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+ | 0.0001 | 22.0 | 2090 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
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+ | 0.0001 | 23.0 | 2185 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
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+ | 0.0001 | 24.0 | 2280 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
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+ | 0.0001 | 25.0 | 2375 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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