Commit
•
531acad
1
Parent(s):
392f3fa
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- subjqa
|
| 7 |
+
model-index:
|
| 8 |
+
- name: qamodel_distilbert
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# qamodel_distilbert
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the subjqa dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 1.7950
|
| 20 |
+
|
| 21 |
+
## Model description
|
| 22 |
+
|
| 23 |
+
More information needed
|
| 24 |
+
|
| 25 |
+
## Intended uses & limitations
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Training and evaluation data
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training procedure
|
| 34 |
+
|
| 35 |
+
### Training hyperparameters
|
| 36 |
+
|
| 37 |
+
The following hyperparameters were used during training:
|
| 38 |
+
- learning_rate: 1e-06
|
| 39 |
+
- train_batch_size: 16
|
| 40 |
+
- eval_batch_size: 16
|
| 41 |
+
- seed: 42
|
| 42 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 43 |
+
- lr_scheduler_type: linear
|
| 44 |
+
- num_epochs: 18
|
| 45 |
+
|
| 46 |
+
### Training results
|
| 47 |
+
|
| 48 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 49 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 50 |
+
| 3.1563 | 1.0 | 81 | 2.6200 |
|
| 51 |
+
| 2.0431 | 2.0 | 162 | 2.1380 |
|
| 52 |
+
| 1.8432 | 3.0 | 243 | 2.0108 |
|
| 53 |
+
| 1.7601 | 4.0 | 324 | 1.9526 |
|
| 54 |
+
| 1.6957 | 5.0 | 405 | 1.9126 |
|
| 55 |
+
| 1.6477 | 6.0 | 486 | 1.8846 |
|
| 56 |
+
| 1.6173 | 7.0 | 567 | 1.8699 |
|
| 57 |
+
| 1.5799 | 8.0 | 648 | 1.8527 |
|
| 58 |
+
| 1.5749 | 9.0 | 729 | 1.8367 |
|
| 59 |
+
| 1.5422 | 10.0 | 810 | 1.8281 |
|
| 60 |
+
| 1.5353 | 11.0 | 891 | 1.8208 |
|
| 61 |
+
| 1.529 | 12.0 | 972 | 1.8116 |
|
| 62 |
+
| 1.5101 | 13.0 | 1053 | 1.8049 |
|
| 63 |
+
| 1.5005 | 14.0 | 1134 | 1.8018 |
|
| 64 |
+
| 1.4932 | 15.0 | 1215 | 1.8008 |
|
| 65 |
+
| 1.4895 | 16.0 | 1296 | 1.7976 |
|
| 66 |
+
| 1.4817 | 17.0 | 1377 | 1.7957 |
|
| 67 |
+
| 1.4695 | 18.0 | 1458 | 1.7950 |
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
### Framework versions
|
| 71 |
+
|
| 72 |
+
- Transformers 4.26.1
|
| 73 |
+
- Pytorch 1.13.1+cu116
|
| 74 |
+
- Datasets 2.10.1
|
| 75 |
+
- Tokenizers 0.13.2
|