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fuhakiem/hin-v002-trainer

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  1. README.md +16 -16
  2. model.safetensors +1 -1
  3. training_args.bin +2 -2
README.md CHANGED
@@ -16,16 +16,16 @@ model-index:
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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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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/health-info-needs/huggingface/runs/4yaqflqd)
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  # results
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  This model is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2255
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- - Accuracy: 0.9201
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- - Precision: [0.7467330429371499, 0.9927045336112559]
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- - Recall: [0.9771986970684039, 0.9034858904434432]
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- - F1: 0.9236
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  ## Model description
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@@ -57,16 +57,16 @@ 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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- | 0.2849 | 1.0 | 307 | 0.2255 | 0.9201 | [0.7467330429371499, 0.9927045336112559] | [0.9771986970684039, 0.9034858904434432] | 0.9236 |
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- | 0.2145 | 2.0 | 614 | 0.2460 | 0.8922 | [0.6813808715336729, 0.9934747145187602] | [0.9804560260586319, 0.8664927673701683] | 0.8982 |
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- | 0.1636 | 3.0 | 921 | 0.4854 | 0.8294 | [0.5700890764181903, 0.9963768115942029] | [0.990228013029316, 0.7825468342423524] | 0.8421 |
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- | 0.1109 | 4.0 | 1228 | 0.5046 | 0.8483 | [0.599308300395257, 0.9956153171587255] | [0.987785016286645, 0.807683187099834] | 0.8590 |
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- | 0.1262 | 5.0 | 1535 | 0.6329 | 0.8369 | [0.5814176245210728, 0.9958296097706285] | [0.988599348534202, 0.7927436566279346] | 0.8488 |
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- | 0.0966 | 6.0 | 1842 | 0.6581 | 0.8487 | [0.600597609561753, 0.9935990689554844] | [0.9820846905537459, 0.8098174057386768] | 0.8592 |
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- | 0.0295 | 7.0 | 2149 | 0.7471 | 0.8395 | [0.5853423336547734, 0.9958469296944527] | [0.988599348534202, 0.7960635522883567] | 0.8511 |
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- | 0.0777 | 8.0 | 2456 | 0.7371 | 0.8490 | [0.6005946481665014, 0.9953311934636708] | [0.9869706840390879, 0.8088688641214133] | 0.8596 |
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- | 0.038 | 9.0 | 2763 | 0.8015 | 0.8509 | [0.6038961038961039, 0.9944815567818762] | [0.9845276872964169, 0.8119516243775196] | 0.8612 |
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- | 0.0099 | 10.0 | 3070 | 0.8109 | 0.8549 | [0.6104944500504541, 0.9948021946289345] | [0.9853420195439739, 0.8169314678681527] | 0.8648 |
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  ### Framework versions
 
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/health-info-needs/huggingface/runs/3v2h15j8)
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  # results
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  This model is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2402
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+ - Accuracy: 0.9120
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+ - Precision: [0.7254665863937387, 0.99392177589852]
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+ - Recall: [0.9812703583061889, 0.8918662556319659]
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+ - F1: 0.9162
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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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+ | 0.2866 | 1.0 | 307 | 0.2402 | 0.9120 | [0.7254665863937387, 0.99392177589852] | [0.9812703583061889, 0.8918662556319659] | 0.9162 |
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+ | 0.2112 | 2.0 | 614 | 0.2482 | 0.8931 | [0.6824858757062147, 0.9945578231292517] | [0.9837133550488599, 0.8667299027744843] | 0.8991 |
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+ | 0.1771 | 3.0 | 921 | 0.4959 | 0.8343 | [0.5773244781783681, 0.9967036260113875] | [0.991042345276873, 0.7887123547545648] | 0.8465 |
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+ | 0.1012 | 4.0 | 1228 | 0.5373 | 0.8496 | [0.6012877662209014, 0.9959136018680678] | [0.988599348534202, 0.8091059995257291] | 0.8601 |
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+ | 0.1251 | 5.0 | 1535 | 0.5214 | 0.8542 | [0.6088264794383149, 0.9959432048681541] | [0.988599348534202, 0.8150343846336258] | 0.8642 |
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+ | 0.0967 | 6.0 | 1842 | 0.7377 | 0.8259 | [0.5651769087523277, 0.9957537154989384] | [0.988599348534202, 0.7785155323689827] | 0.8390 |
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+ | 0.0333 | 7.0 | 2149 | 0.7224 | 0.8457 | [0.5949119373776908, 0.9964716259923552] | [0.990228013029316, 0.8036518852264644] | 0.8567 |
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+ | 0.072 | 8.0 | 2456 | 0.7021 | 0.8496 | [0.6013882002974715, 0.9956242707117853] | [0.987785016286645, 0.8093431349300451] | 0.8601 |
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+ | 0.0385 | 9.0 | 2763 | 0.8352 | 0.8408 | [0.587409200968523, 0.9955621301775148] | [0.987785016286645, 0.7979606355228835] | 0.8522 |
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+ | 0.0084 | 10.0 | 3070 | 0.7899 | 0.8531 | [0.6071071071071071, 0.9956483899042646] | [0.987785016286645, 0.8138487076120465] | 0.8632 |
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  ### Framework versions
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