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all_keywords_multi-qa-MiniLM-L6-cos-v1_final

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README.md ADDED
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+ ---
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+ base_model: sentence-transformers/multi-qa-MiniLM-L6-cos-v1
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - precision
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+ - recall
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+ - f1
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+ model-index:
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+ - name: all_keywords_multi-qa-MiniLM-L6-cos-v1_another
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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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+ # all_keywords_multi-qa-MiniLM-L6-cos-v1_another
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+
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+ This model is a fine-tuned version of [sentence-transformers/multi-qa-MiniLM-L6-cos-v1](https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.2408
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+ - Accuracy: 0.5259
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+ - Precision: 0.5259
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+ - Recall: 0.5259
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+ - F1: 0.5259
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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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 15
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 2.3237 | 1.0 | 712 | 1.9365 | 0.4123 | 0.4123 | 0.4123 | 0.4123 |
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+ | 2.0274 | 2.0 | 1424 | 1.8781 | 0.4502 | 0.4502 | 0.4502 | 0.4502 |
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+ | 1.7498 | 3.0 | 2136 | 1.7664 | 0.4656 | 0.4656 | 0.4656 | 0.4656 |
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+ | 1.6009 | 4.0 | 2848 | 1.7801 | 0.4656 | 0.4656 | 0.4656 | 0.4656 |
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+ | 1.2981 | 5.0 | 3560 | 1.9004 | 0.4600 | 0.4600 | 0.4600 | 0.4600 |
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+ | 1.0895 | 6.0 | 4272 | 2.0621 | 0.4642 | 0.4642 | 0.4642 | 0.4642 |
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+ | 0.9878 | 7.0 | 4984 | 2.4640 | 0.4572 | 0.4572 | 0.4572 | 0.4572 |
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+ | 0.784 | 8.0 | 5696 | 2.5635 | 0.5091 | 0.5091 | 0.5091 | 0.5091 |
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+ | 0.6569 | 9.0 | 6408 | 2.5690 | 0.5273 | 0.5273 | 0.5273 | 0.5273 |
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+ | 0.5847 | 10.0 | 7120 | 2.9342 | 0.5063 | 0.5063 | 0.5063 | 0.5063 |
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+ | 0.5107 | 11.0 | 7832 | 2.9652 | 0.5091 | 0.5091 | 0.5091 | 0.5091 |
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+ | 0.4954 | 12.0 | 8544 | 3.1480 | 0.5161 | 0.5161 | 0.5161 | 0.5161 |
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+ | 0.4274 | 13.0 | 9256 | 3.2199 | 0.4993 | 0.4993 | 0.4993 | 0.4993 |
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+ | 0.433 | 14.0 | 9968 | 3.2185 | 0.5217 | 0.5217 | 0.5217 | 0.5217 |
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+ | 0.3615 | 15.0 | 10680 | 3.2408 | 0.5259 | 0.5259 | 0.5259 | 0.5259 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.2.1+cu118
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+ - Datasets 2.14.7
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+ - Tokenizers 0.15.2
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