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all_keywords_multi-qa-MiniLM-L6-cos-v1_final

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End of training

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  1. README.md +27 -22
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
 
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  tags:
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  - generated_from_trainer
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- base_model: sentence-transformers/multi-qa-MiniLM-L6-cos-v1
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  metrics:
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  - accuracy
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  - precision
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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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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  ## Model description
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@@ -48,27 +48,32 @@ The following hyperparameters were used during training:
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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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  ### Training results
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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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  ### Framework versions
 
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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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  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: 3.6836
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+ - Accuracy: 0.5091
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+ - Precision: 0.5091
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+ - Recall: 0.5091
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+ - F1: 0.5091
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  ## Model description
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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: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 2.3001 | 1.0 | 712 | 1.9740 | 0.4306 | 0.4306 | 0.4306 | 0.4306 |
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+ | 2.0028 | 2.0 | 1424 | 1.9084 | 0.4418 | 0.4418 | 0.4418 | 0.4418 |
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+ | 1.7335 | 3.0 | 2136 | 1.8073 | 0.4642 | 0.4642 | 0.4642 | 0.4642 |
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+ | 1.6116 | 4.0 | 2848 | 1.8696 | 0.4853 | 0.4853 | 0.4853 | 0.4853 |
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+ | 1.2663 | 5.0 | 3560 | 1.8992 | 0.4783 | 0.4783 | 0.4783 | 0.4783 |
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+ | 1.0998 | 6.0 | 4272 | 2.0148 | 0.4923 | 0.4923 | 0.4923 | 0.4923 |
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+ | 1.0126 | 7.0 | 4984 | 2.3935 | 0.4684 | 0.4684 | 0.4684 | 0.4684 |
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+ | 0.7917 | 8.0 | 5696 | 2.5295 | 0.5035 | 0.5035 | 0.5035 | 0.5035 |
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+ | 0.7038 | 9.0 | 6408 | 2.9043 | 0.4909 | 0.4909 | 0.4909 | 0.4909 |
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+ | 0.601 | 10.0 | 7120 | 2.9520 | 0.5021 | 0.5021 | 0.5021 | 0.5021 |
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+ | 0.5927 | 11.0 | 7832 | 3.0934 | 0.5175 | 0.5175 | 0.5175 | 0.5175 |
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+ | 0.5112 | 12.0 | 8544 | 3.2217 | 0.5021 | 0.5021 | 0.5021 | 0.5021 |
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+ | 0.4325 | 13.0 | 9256 | 3.3412 | 0.5119 | 0.5119 | 0.5119 | 0.5119 |
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+ | 0.4005 | 14.0 | 9968 | 3.4485 | 0.5161 | 0.5161 | 0.5161 | 0.5161 |
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+ | 0.3646 | 15.0 | 10680 | 3.6021 | 0.4825 | 0.4825 | 0.4825 | 0.4825 |
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+ | 0.3385 | 16.0 | 11392 | 3.4522 | 0.5203 | 0.5203 | 0.5203 | 0.5203 |
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+ | 0.316 | 17.0 | 12104 | 3.5701 | 0.5175 | 0.5175 | 0.5175 | 0.5175 |
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+ | 0.266 | 18.0 | 12816 | 3.6202 | 0.5063 | 0.5063 | 0.5063 | 0.5063 |
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+ | 0.2518 | 19.0 | 13528 | 3.6250 | 0.5175 | 0.5175 | 0.5175 | 0.5175 |
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+ | 0.254 | 20.0 | 14240 | 3.6836 | 0.5091 | 0.5091 | 0.5091 | 0.5091 |
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  ### Framework versions
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