Model save
Browse files- README.md +81 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: mit
|
| 4 |
+
base_model: microsoft/deberta-v3-large
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- accuracy
|
| 9 |
+
model-index:
|
| 10 |
+
- name: QA-DeBERTa-v3-large-diff-binary-2
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# QA-DeBERTa-v3-large-diff-binary-2
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.3192
|
| 22 |
+
- Accuracy: 0.8627
|
| 23 |
+
- Unsafe Precision: 0.8876
|
| 24 |
+
- Unsafe Recall: 0.8625
|
| 25 |
+
- Unsafe F1: 0.8748
|
| 26 |
+
- Unsafe Fpr: 0.1370
|
| 27 |
+
- Unsafe Aucpr: 0.9550
|
| 28 |
+
- Safe Precision: 0.8334
|
| 29 |
+
- Safe Recall: 0.8630
|
| 30 |
+
- Safe F1: 0.8479
|
| 31 |
+
- Safe Fpr: 0.1375
|
| 32 |
+
- Safe Aucpr: 0.9220
|
| 33 |
+
|
| 34 |
+
## Model description
|
| 35 |
+
|
| 36 |
+
More information needed
|
| 37 |
+
|
| 38 |
+
## Intended uses & limitations
|
| 39 |
+
|
| 40 |
+
More information needed
|
| 41 |
+
|
| 42 |
+
## Training and evaluation data
|
| 43 |
+
|
| 44 |
+
More information needed
|
| 45 |
+
|
| 46 |
+
## Training procedure
|
| 47 |
+
|
| 48 |
+
### Training hyperparameters
|
| 49 |
+
|
| 50 |
+
The following hyperparameters were used during training:
|
| 51 |
+
- learning_rate: 6e-06
|
| 52 |
+
- train_batch_size: 64
|
| 53 |
+
- eval_batch_size: 64
|
| 54 |
+
- seed: 42
|
| 55 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 56 |
+
- lr_scheduler_type: linear
|
| 57 |
+
- lr_scheduler_warmup_steps: 1000
|
| 58 |
+
- num_epochs: 10
|
| 59 |
+
|
| 60 |
+
### Training results
|
| 61 |
+
|
| 62 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Unsafe Precision | Unsafe Recall | Unsafe F1 | Unsafe Fpr | Unsafe Aucpr | Safe Precision | Safe Recall | Safe F1 | Safe Fpr | Safe Aucpr |
|
| 63 |
+
|:-------------:|:------:|:-----:|:---------------:|:--------:|:----------------:|:-------------:|:---------:|:----------:|:------------:|:--------------:|:-----------:|:-------:|:--------:|:----------:|
|
| 64 |
+
| 0.2998 | 0.2501 | 2114 | 0.3677 | 0.8446 | 0.9027 | 0.8078 | 0.8526 | 0.1093 | 0.9436 | 0.7870 | 0.8907 | 0.8356 | 0.1922 | 0.8961 |
|
| 65 |
+
| 0.3262 | 0.5001 | 4228 | 0.3278 | 0.8561 | 0.8786 | 0.8602 | 0.8693 | 0.1491 | 0.9495 | 0.8291 | 0.8509 | 0.8399 | 0.1398 | 0.9087 |
|
| 66 |
+
| 0.3019 | 0.7502 | 6342 | 0.3236 | 0.8588 | 0.8972 | 0.8429 | 0.8692 | 0.1211 | 0.9527 | 0.8168 | 0.8789 | 0.8467 | 0.1571 | 0.9155 |
|
| 67 |
+
| 0.3479 | 1.0002 | 8456 | 0.3215 | 0.8599 | 0.8690 | 0.8811 | 0.8750 | 0.1666 | 0.9531 | 0.8482 | 0.8334 | 0.8407 | 0.1189 | 0.9175 |
|
| 68 |
+
| 0.302 | 1.2503 | 10570 | 0.3221 | 0.8611 | 0.8839 | 0.8639 | 0.8738 | 0.1423 | 0.9536 | 0.8340 | 0.8577 | 0.8457 | 0.1361 | 0.9176 |
|
| 69 |
+
| 0.2663 | 1.5004 | 12684 | 0.3409 | 0.8609 | 0.8682 | 0.8842 | 0.8761 | 0.1684 | 0.9538 | 0.8512 | 0.8316 | 0.8413 | 0.1158 | 0.9184 |
|
| 70 |
+
| 0.2841 | 1.7504 | 14798 | 0.3223 | 0.8622 | 0.8772 | 0.8748 | 0.8760 | 0.1537 | 0.9551 | 0.8435 | 0.8463 | 0.8449 | 0.1252 | 0.9202 |
|
| 71 |
+
| 0.3074 | 2.0005 | 16912 | 0.3244 | 0.8632 | 0.8995 | 0.8490 | 0.8735 | 0.1190 | 0.9553 | 0.8230 | 0.8810 | 0.8510 | 0.1510 | 0.9182 |
|
| 72 |
+
| 0.3052 | 2.2505 | 19026 | 0.3200 | 0.8618 | 0.8833 | 0.8660 | 0.8746 | 0.1435 | 0.9546 | 0.8359 | 0.8565 | 0.8461 | 0.1340 | 0.9221 |
|
| 73 |
+
| 0.268 | 2.5006 | 21140 | 0.3192 | 0.8627 | 0.8876 | 0.8625 | 0.8748 | 0.1370 | 0.9550 | 0.8334 | 0.8630 | 0.8479 | 0.1375 | 0.9220 |
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
### Framework versions
|
| 77 |
+
|
| 78 |
+
- Transformers 4.57.3
|
| 79 |
+
- Pytorch 2.7.1+cu118
|
| 80 |
+
- Datasets 4.4.1
|
| 81 |
+
- Tokenizers 0.22.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1757094344
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e8c35244fa091ae864433966fb3a6de358d4a415b0bf3ee63cf6a31311ecf858
|
| 3 |
size 1757094344
|