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all_abstracts_multi-qa-MiniLM-L6-cos-v1_final

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  1. README.md +21 -21
  2. model.safetensors +1 -1
  3. runs/May03_00-14-12_PC-AJ/events.out.tfevents.1714688052.PC-AJ.484.0 +2 -2
README.md CHANGED
@@ -1,7 +1,7 @@
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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: 2.5597
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- - Accuracy: 0.4515
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- - Precision: 0.4515
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- - Recall: 0.4515
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- - F1: 0.4515
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  ## Model description
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@@ -54,21 +54,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 2.4481 | 1.0 | 660 | 1.9849 | 0.3530 | 0.3530 | 0.3530 | 0.3530 |
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- | 2.0464 | 2.0 | 1320 | 1.8302 | 0.4621 | 0.4621 | 0.4621 | 0.4621 |
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- | 1.8931 | 3.0 | 1980 | 1.7356 | 0.4803 | 0.4803 | 0.4803 | 0.4803 |
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- | 1.6147 | 4.0 | 2640 | 1.7591 | 0.4545 | 0.4545 | 0.4545 | 0.4545 |
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- | 1.4992 | 5.0 | 3300 | 1.7953 | 0.4803 | 0.4803 | 0.4803 | 0.4803 |
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- | 1.3173 | 6.0 | 3960 | 1.8798 | 0.4742 | 0.4742 | 0.4742 | 0.4742 |
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- | 1.1833 | 7.0 | 4620 | 1.9830 | 0.4758 | 0.4758 | 0.4758 | 0.4758 |
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- | 1.0327 | 8.0 | 5280 | 2.0413 | 0.4621 | 0.4621 | 0.4621 | 0.4621 |
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- | 0.9445 | 9.0 | 5940 | 2.1263 | 0.4818 | 0.4818 | 0.4818 | 0.4818 |
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- | 0.8317 | 10.0 | 6600 | 2.2633 | 0.4606 | 0.4606 | 0.4606 | 0.4606 |
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- | 0.7805 | 11.0 | 7260 | 2.3525 | 0.4667 | 0.4667 | 0.4667 | 0.4667 |
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- | 0.797 | 12.0 | 7920 | 2.4644 | 0.4667 | 0.4667 | 0.4667 | 0.4667 |
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- | 0.6958 | 13.0 | 8580 | 2.5641 | 0.4530 | 0.4530 | 0.4530 | 0.4530 |
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- | 0.7163 | 14.0 | 9240 | 2.5610 | 0.4485 | 0.4485 | 0.4485 | 0.4485 |
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- | 0.652 | 15.0 | 9900 | 2.5597 | 0.4515 | 0.4515 | 0.4515 | 0.4515 |
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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: 2.5678
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+ - Accuracy: 0.4621
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+ - Precision: 0.4621
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+ - Recall: 0.4621
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+ - F1: 0.4621
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 2.466 | 1.0 | 660 | 2.0039 | 0.3212 | 0.3212 | 0.3212 | 0.3212 |
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+ | 2.0309 | 2.0 | 1320 | 1.8715 | 0.4061 | 0.4061 | 0.4061 | 0.4061 |
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+ | 1.9092 | 3.0 | 1980 | 1.7737 | 0.4288 | 0.4288 | 0.4288 | 0.4288 |
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+ | 1.6374 | 4.0 | 2640 | 1.7987 | 0.4606 | 0.4606 | 0.4606 | 0.4606 |
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+ | 1.5152 | 5.0 | 3300 | 1.8548 | 0.4606 | 0.4606 | 0.4606 | 0.4606 |
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+ | 1.4285 | 6.0 | 3960 | 1.8773 | 0.4712 | 0.4712 | 0.4712 | 0.4712 |
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+ | 1.1618 | 7.0 | 4620 | 1.9726 | 0.4545 | 0.4545 | 0.4545 | 0.4545 |
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+ | 1.104 | 8.0 | 5280 | 2.0739 | 0.4652 | 0.4652 | 0.4652 | 0.4652 |
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+ | 1.025 | 9.0 | 5940 | 2.2104 | 0.4545 | 0.4545 | 0.4545 | 0.4545 |
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+ | 0.9051 | 10.0 | 6600 | 2.2647 | 0.4545 | 0.4545 | 0.4545 | 0.4545 |
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+ | 0.8191 | 11.0 | 7260 | 2.3455 | 0.4576 | 0.4576 | 0.4576 | 0.4576 |
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+ | 0.8319 | 12.0 | 7920 | 2.4673 | 0.4652 | 0.4652 | 0.4652 | 0.4652 |
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+ | 0.7634 | 13.0 | 8580 | 2.4986 | 0.4621 | 0.4621 | 0.4621 | 0.4621 |
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+ | 0.7199 | 14.0 | 9240 | 2.5761 | 0.4636 | 0.4636 | 0.4636 | 0.4636 |
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+ | 0.737 | 15.0 | 9900 | 2.5678 | 0.4621 | 0.4621 | 0.4621 | 0.4621 |
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  ### Framework versions
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