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xlm-roberta-base-trading

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xlm-roberta
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  1. README.md +46 -46
  2. model.safetensors +1 -1
  3. runs/May25_23-26-39_Precision-3660/events.out.tfevents.1716643600.Precision-3660.1589267.0 +2 -2
README.md CHANGED
@@ -1,24 +1,24 @@
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  ---
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  license: mit
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- base_model: microsoft/Multilingual-MiniLM-L12-H384
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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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  model-index:
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- - name: intent_trading
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  results: []
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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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- # intent_trading
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- This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1741
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- - Accuracy: 0.9548
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  ## Model description
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@@ -49,46 +49,46 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 227 | 1.5904 | 0.7689 |
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- | No log | 2.0 | 454 | 1.0086 | 0.8670 |
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- | 1.6528 | 3.0 | 681 | 0.6706 | 0.9055 |
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- | 1.6528 | 4.0 | 908 | 0.4376 | 0.9518 |
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- | 0.6124 | 5.0 | 1135 | 0.2966 | 0.9551 |
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- | 0.6124 | 6.0 | 1362 | 0.2373 | 0.9504 |
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- | 0.2536 | 7.0 | 1589 | 0.1967 | 0.9537 |
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- | 0.2536 | 8.0 | 1816 | 0.1666 | 0.9565 |
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- | 0.1476 | 9.0 | 2043 | 0.1642 | 0.9543 |
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- | 0.1476 | 10.0 | 2270 | 0.1570 | 0.9551 |
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- | 0.1476 | 11.0 | 2497 | 0.1500 | 0.9543 |
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- | 0.1067 | 12.0 | 2724 | 0.1469 | 0.9548 |
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- | 0.1067 | 13.0 | 2951 | 0.1458 | 0.9557 |
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- | 0.0817 | 14.0 | 3178 | 0.1409 | 0.9540 |
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- | 0.0817 | 15.0 | 3405 | 0.1426 | 0.9595 |
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- | 0.0709 | 16.0 | 3632 | 0.1418 | 0.9540 |
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- | 0.0709 | 17.0 | 3859 | 0.1416 | 0.9557 |
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- | 0.0631 | 18.0 | 4086 | 0.1373 | 0.9581 |
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- | 0.0631 | 19.0 | 4313 | 0.1458 | 0.9559 |
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- | 0.0557 | 20.0 | 4540 | 0.1391 | 0.9559 |
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- | 0.0557 | 21.0 | 4767 | 0.1526 | 0.9518 |
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- | 0.0557 | 22.0 | 4994 | 0.1511 | 0.9529 |
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- | 0.0495 | 23.0 | 5221 | 0.1578 | 0.9526 |
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- | 0.0495 | 24.0 | 5448 | 0.1360 | 0.9568 |
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- | 0.0443 | 25.0 | 5675 | 0.1451 | 0.9565 |
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- | 0.0443 | 26.0 | 5902 | 0.1477 | 0.9562 |
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- | 0.0419 | 27.0 | 6129 | 0.1624 | 0.9540 |
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- | 0.0419 | 28.0 | 6356 | 0.1659 | 0.9537 |
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- | 0.0371 | 29.0 | 6583 | 0.1607 | 0.9548 |
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- | 0.0371 | 30.0 | 6810 | 0.1638 | 0.9543 |
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- | 0.035 | 31.0 | 7037 | 0.1655 | 0.9529 |
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- | 0.035 | 32.0 | 7264 | 0.1662 | 0.9562 |
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- | 0.035 | 33.0 | 7491 | 0.1702 | 0.9532 |
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- | 0.033 | 34.0 | 7718 | 0.1662 | 0.9562 |
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- | 0.033 | 35.0 | 7945 | 0.1667 | 0.9532 |
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- | 0.0309 | 36.0 | 8172 | 0.1794 | 0.9554 |
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- | 0.0309 | 37.0 | 8399 | 0.1756 | 0.9546 |
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- | 0.0292 | 38.0 | 8626 | 0.1722 | 0.9559 |
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- | 0.0292 | 39.0 | 8853 | 0.1706 | 0.9559 |
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- | 0.0281 | 40.0 | 9080 | 0.1741 | 0.9548 |
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  ### Framework versions
 
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  ---
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  license: mit
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+ base_model: xlm-roberta-base
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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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  model-index:
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+ - name: xlm-roberta-base-trading
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  results: []
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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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+ # xlm-roberta-base-trading
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2400
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+ - Accuracy: 0.9603
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 227 | 0.1720 | 0.9488 |
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+ | No log | 2.0 | 454 | 0.1644 | 0.9427 |
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+ | 0.5189 | 3.0 | 681 | 0.1209 | 0.9565 |
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+ | 0.5189 | 4.0 | 908 | 0.1223 | 0.9557 |
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+ | 0.0997 | 5.0 | 1135 | 0.1350 | 0.9535 |
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+ | 0.0997 | 6.0 | 1362 | 0.1239 | 0.9557 |
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+ | 0.0729 | 7.0 | 1589 | 0.1245 | 0.9581 |
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+ | 0.0729 | 8.0 | 1816 | 0.1264 | 0.9568 |
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+ | 0.0578 | 9.0 | 2043 | 0.1313 | 0.9590 |
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+ | 0.0578 | 10.0 | 2270 | 0.1502 | 0.9540 |
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+ | 0.0578 | 11.0 | 2497 | 0.1411 | 0.9573 |
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+ | 0.0489 | 12.0 | 2724 | 0.1527 | 0.9581 |
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+ | 0.0489 | 13.0 | 2951 | 0.1537 | 0.9562 |
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+ | 0.0419 | 14.0 | 3178 | 0.1561 | 0.9581 |
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+ | 0.0419 | 15.0 | 3405 | 0.1686 | 0.9592 |
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+ | 0.0363 | 16.0 | 3632 | 0.1730 | 0.9559 |
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+ | 0.0363 | 17.0 | 3859 | 0.1684 | 0.9603 |
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+ | 0.0337 | 18.0 | 4086 | 0.1764 | 0.9581 |
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+ | 0.0337 | 19.0 | 4313 | 0.1725 | 0.9592 |
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+ | 0.0289 | 20.0 | 4540 | 0.1677 | 0.9595 |
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+ | 0.0289 | 21.0 | 4767 | 0.1726 | 0.9570 |
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+ | 0.0289 | 22.0 | 4994 | 0.1802 | 0.9614 |
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+ | 0.0258 | 23.0 | 5221 | 0.1984 | 0.9587 |
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+ | 0.0258 | 24.0 | 5448 | 0.1915 | 0.9584 |
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+ | 0.0253 | 25.0 | 5675 | 0.2046 | 0.9587 |
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+ | 0.0253 | 26.0 | 5902 | 0.2221 | 0.9592 |
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+ | 0.0231 | 27.0 | 6129 | 0.2321 | 0.9584 |
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+ | 0.0231 | 28.0 | 6356 | 0.2018 | 0.9562 |
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+ | 0.0185 | 29.0 | 6583 | 0.2385 | 0.9592 |
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+ | 0.0185 | 30.0 | 6810 | 0.2219 | 0.9598 |
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+ | 0.0187 | 31.0 | 7037 | 0.2097 | 0.9609 |
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+ | 0.0187 | 32.0 | 7264 | 0.2204 | 0.9606 |
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+ | 0.0187 | 33.0 | 7491 | 0.2174 | 0.9598 |
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+ | 0.0163 | 34.0 | 7718 | 0.2310 | 0.9601 |
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+ | 0.0163 | 35.0 | 7945 | 0.2349 | 0.9603 |
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+ | 0.0147 | 36.0 | 8172 | 0.2426 | 0.9595 |
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+ | 0.0147 | 37.0 | 8399 | 0.2404 | 0.9592 |
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+ | 0.0151 | 38.0 | 8626 | 0.2357 | 0.9609 |
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+ | 0.0151 | 39.0 | 8853 | 0.2390 | 0.9601 |
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+ | 0.0132 | 40.0 | 9080 | 0.2400 | 0.9603 |
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  ### Framework versions
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