Commit ·
e9f3d5a
1
Parent(s): d4678e5
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- mn
|
| 4 |
+
license: mit
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- precision
|
| 9 |
+
- recall
|
| 10 |
+
- f1
|
| 11 |
+
- accuracy
|
| 12 |
+
model-index:
|
| 13 |
+
- name: roberta-large-mnli-ner-demo
|
| 14 |
+
results: []
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 18 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 19 |
+
|
| 20 |
+
# roberta-large-mnli-ner-demo
|
| 21 |
+
|
| 22 |
+
This model is a fine-tuned version of [roberta-large-mnli](https://huggingface.co/roberta-large-mnli) on the None dataset.
|
| 23 |
+
It achieves the following results on the evaluation set:
|
| 24 |
+
- Loss: 0.3031
|
| 25 |
+
- Precision: 0.5963
|
| 26 |
+
- Recall: 0.6724
|
| 27 |
+
- F1: 0.6321
|
| 28 |
+
- Accuracy: 0.9073
|
| 29 |
+
|
| 30 |
+
## Model description
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Intended uses & limitations
|
| 35 |
+
|
| 36 |
+
More information needed
|
| 37 |
+
|
| 38 |
+
## Training and evaluation data
|
| 39 |
+
|
| 40 |
+
More information needed
|
| 41 |
+
|
| 42 |
+
## Training procedure
|
| 43 |
+
|
| 44 |
+
### Training hyperparameters
|
| 45 |
+
|
| 46 |
+
The following hyperparameters were used during training:
|
| 47 |
+
- learning_rate: 2e-05
|
| 48 |
+
- train_batch_size: 16
|
| 49 |
+
- eval_batch_size: 32
|
| 50 |
+
- seed: 42
|
| 51 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 52 |
+
- lr_scheduler_type: linear
|
| 53 |
+
- num_epochs: 10
|
| 54 |
+
|
| 55 |
+
### Training results
|
| 56 |
+
|
| 57 |
+
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
| 58 |
+
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
| 59 |
+
| 0.8144 | 1.0 | 64 | 0.7253 | 0.0482 | 0.0131 | 0.0206 | 0.8188 |
|
| 60 |
+
| 0.7601 | 2.0 | 128 | 0.7279 | 0.0482 | 0.0131 | 0.0206 | 0.8188 |
|
| 61 |
+
| 0.7494 | 3.0 | 192 | 0.5408 | 0.0482 | 0.0131 | 0.0206 | 0.8188 |
|
| 62 |
+
| 0.521 | 4.0 | 256 | 0.4369 | 0.4465 | 0.5225 | 0.4816 | 0.8653 |
|
| 63 |
+
| 0.4497 | 5.0 | 320 | 0.3912 | 0.4791 | 0.5289 | 0.5028 | 0.8648 |
|
| 64 |
+
| 0.3849 | 6.0 | 384 | 0.3620 | 0.6039 | 0.6218 | 0.6127 | 0.8955 |
|
| 65 |
+
| 0.3326 | 7.0 | 448 | 0.3216 | 0.5830 | 0.6482 | 0.6139 | 0.8975 |
|
| 66 |
+
| 0.2959 | 8.0 | 512 | 0.3183 | 0.5750 | 0.6404 | 0.6059 | 0.8975 |
|
| 67 |
+
| 0.2617 | 9.0 | 576 | 0.3061 | 0.5785 | 0.6674 | 0.6198 | 0.9037 |
|
| 68 |
+
| 0.2396 | 10.0 | 640 | 0.3031 | 0.5963 | 0.6724 | 0.6321 | 0.9073 |
|
| 69 |
+
|
| 70 |
+
|
| 71 |
+
### Framework versions
|
| 72 |
+
|
| 73 |
+
- Transformers 4.28.1
|
| 74 |
+
- Pytorch 2.0.0+cu118
|
| 75 |
+
- Datasets 2.11.0
|
| 76 |
+
- Tokenizers 0.13.3
|