Commit ·
077a15c
1
Parent(s): 23721fb
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- precision
|
| 7 |
+
- recall
|
| 8 |
+
- f1
|
| 9 |
+
- accuracy
|
| 10 |
+
model-index:
|
| 11 |
+
- name: roberta_large-chunking_0811_v7
|
| 12 |
+
results: []
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 17 |
+
|
| 18 |
+
# roberta_large-chunking_0811_v7
|
| 19 |
+
|
| 20 |
+
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
|
| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 0.3687
|
| 23 |
+
- Precision: 0.8237
|
| 24 |
+
- Recall: 0.8406
|
| 25 |
+
- F1: 0.8320
|
| 26 |
+
- Accuracy: 0.9134
|
| 27 |
+
|
| 28 |
+
## Model description
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Intended uses & limitations
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training and evaluation data
|
| 37 |
+
|
| 38 |
+
More information needed
|
| 39 |
+
|
| 40 |
+
## Training procedure
|
| 41 |
+
|
| 42 |
+
### Training hyperparameters
|
| 43 |
+
|
| 44 |
+
The following hyperparameters were used during training:
|
| 45 |
+
- learning_rate: 1e-05
|
| 46 |
+
- train_batch_size: 16
|
| 47 |
+
- eval_batch_size: 16
|
| 48 |
+
- seed: 42
|
| 49 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 50 |
+
- lr_scheduler_type: linear
|
| 51 |
+
- num_epochs: 7
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
| 56 |
+
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
| 57 |
+
| 0.1929 | 1.0 | 1249 | 0.4165 | 0.8034 | 0.8191 | 0.8112 | 0.9047 |
|
| 58 |
+
| 0.0789 | 2.0 | 2498 | 0.4161 | 0.8262 | 0.8363 | 0.8312 | 0.9088 |
|
| 59 |
+
| 0.0319 | 3.0 | 3747 | 0.5684 | 0.8104 | 0.8380 | 0.8240 | 0.9037 |
|
| 60 |
+
| 0.0198 | 4.0 | 4996 | 0.6959 | 0.8237 | 0.8433 | 0.8334 | 0.9067 |
|
| 61 |
+
| 0.0098 | 5.0 | 6245 | 0.7280 | 0.8234 | 0.8453 | 0.8342 | 0.9084 |
|
| 62 |
+
| 0.0075 | 6.0 | 7494 | 0.7482 | 0.8259 | 0.8482 | 0.8369 | 0.9075 |
|
| 63 |
+
| 0.0041 | 7.0 | 8743 | 0.7807 | 0.8396 | 0.8527 | 0.8461 | 0.9113 |
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
### Framework versions
|
| 67 |
+
|
| 68 |
+
- Transformers 4.21.1
|
| 69 |
+
- Pytorch 1.12.0+cu113
|
| 70 |
+
- Datasets 2.4.0
|
| 71 |
+
- Tokenizers 0.12.1
|