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MatSciBERT_BIOMAT_NER2

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End of training

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  1. README.md +17 -17
  2. model.safetensors +1 -1
  3. runs/Aug30_10-30-30_b90f2fa588d9/events.out.tfevents.1725013834.b90f2fa588d9.229.0 +2 -2
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [m3rg-iitd/matscibert](https://huggingface.co/m3rg-iitd/matscibert) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5316
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- - Precision: 0.9596
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- - Recall: 0.9442
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- - F1: 0.9518
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- - Accuracy: 0.9428
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  ## Model description
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@@ -53,18 +53,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.1601 | 1.0 | 793 | 0.2740 | 0.9603 | 0.9459 | 0.9530 | 0.9444 |
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- | 0.0276 | 2.0 | 1586 | 0.3631 | 0.9599 | 0.9447 | 0.9522 | 0.9431 |
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- | 0.0139 | 3.0 | 2379 | 0.3745 | 0.9602 | 0.9445 | 0.9523 | 0.9430 |
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- | 0.0054 | 4.0 | 3172 | 0.4634 | 0.9601 | 0.9441 | 0.9521 | 0.9429 |
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- | 0.0039 | 5.0 | 3965 | 0.4709 | 0.9594 | 0.9440 | 0.9517 | 0.9423 |
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- | 0.0018 | 6.0 | 4758 | 0.5042 | 0.9587 | 0.9440 | 0.9513 | 0.9426 |
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- | 0.0011 | 7.0 | 5551 | 0.5223 | 0.9598 | 0.9439 | 0.9518 | 0.9425 |
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- | 0.0009 | 8.0 | 6344 | 0.5241 | 0.9594 | 0.9438 | 0.9515 | 0.9424 |
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- | 0.0004 | 9.0 | 7137 | 0.5277 | 0.9595 | 0.9441 | 0.9517 | 0.9428 |
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- | 0.0004 | 10.0 | 7930 | 0.5316 | 0.9596 | 0.9442 | 0.9518 | 0.9428 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [m3rg-iitd/matscibert](https://huggingface.co/m3rg-iitd/matscibert) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5936
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+ - Precision: 0.9555
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+ - Recall: 0.9490
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+ - F1: 0.9523
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+ - Accuracy: 0.9426
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.0537 | 1.0 | 1171 | 0.3242 | 0.9568 | 0.9456 | 0.9512 | 0.9406 |
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+ | 0.0163 | 2.0 | 2342 | 0.3726 | 0.9578 | 0.9499 | 0.9538 | 0.9447 |
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+ | 0.0054 | 3.0 | 3513 | 0.4411 | 0.9565 | 0.9496 | 0.9530 | 0.9432 |
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+ | 0.0029 | 4.0 | 4684 | 0.4982 | 0.9562 | 0.9480 | 0.9521 | 0.9420 |
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+ | 0.0017 | 5.0 | 5855 | 0.5276 | 0.9548 | 0.9472 | 0.9510 | 0.9404 |
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+ | 0.001 | 6.0 | 7026 | 0.5463 | 0.9562 | 0.9494 | 0.9528 | 0.9429 |
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+ | 0.0005 | 7.0 | 8197 | 0.5741 | 0.9567 | 0.9500 | 0.9533 | 0.9437 |
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+ | 0.0004 | 8.0 | 9368 | 0.5979 | 0.9557 | 0.9494 | 0.9526 | 0.9428 |
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+ | 0.0003 | 9.0 | 10539 | 0.6028 | 0.9558 | 0.9496 | 0.9527 | 0.9428 |
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+ | 0.0004 | 10.0 | 11710 | 0.5936 | 0.9555 | 0.9490 | 0.9523 | 0.9426 |
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  ### Framework versions
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