Commit
•
1285f10
1
Parent(s):
01a7e75
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- accuracy
|
| 7 |
+
- f1
|
| 8 |
+
model-index:
|
| 9 |
+
- name: mdeberta-v3-base_amazon-massive_intent
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# mdeberta-v3-base_amazon-massive_intent
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 1.1661
|
| 21 |
+
- Accuracy: 0.8136
|
| 22 |
+
- F1: 0.8136
|
| 23 |
+
|
| 24 |
+
## Model description
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Intended uses & limitations
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training and evaluation data
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training procedure
|
| 37 |
+
|
| 38 |
+
### Training hyperparameters
|
| 39 |
+
|
| 40 |
+
The following hyperparameters were used during training:
|
| 41 |
+
- learning_rate: 2e-05
|
| 42 |
+
- train_batch_size: 16
|
| 43 |
+
- eval_batch_size: 16
|
| 44 |
+
- seed: 42
|
| 45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
+
- lr_scheduler_type: linear
|
| 47 |
+
- num_epochs: 20
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|
| 52 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
|
| 53 |
+
| 3.6412 | 1.0 | 720 | 2.7536 | 0.3123 | 0.3123 |
|
| 54 |
+
| 2.8575 | 2.0 | 1440 | 1.8556 | 0.5303 | 0.5303 |
|
| 55 |
+
| 1.7284 | 3.0 | 2160 | 1.3758 | 0.6699 | 0.6699 |
|
| 56 |
+
| 1.3794 | 4.0 | 2880 | 1.1221 | 0.7236 | 0.7236 |
|
| 57 |
+
| 0.942 | 5.0 | 3600 | 0.9936 | 0.7609 | 0.7609 |
|
| 58 |
+
| 0.7672 | 6.0 | 4320 | 0.9411 | 0.7727 | 0.7727 |
|
| 59 |
+
| 0.602 | 7.0 | 5040 | 0.9196 | 0.7841 | 0.7841 |
|
| 60 |
+
| 0.4776 | 8.0 | 5760 | 0.9328 | 0.7895 | 0.7895 |
|
| 61 |
+
| 0.4347 | 9.0 | 6480 | 0.9602 | 0.7860 | 0.7860 |
|
| 62 |
+
| 0.2941 | 10.0 | 7200 | 0.9543 | 0.7949 | 0.7949 |
|
| 63 |
+
| 0.2783 | 11.0 | 7920 | 0.9979 | 0.8013 | 0.8013 |
|
| 64 |
+
| 0.2038 | 12.0 | 8640 | 0.9702 | 0.8062 | 0.8062 |
|
| 65 |
+
| 0.1827 | 13.0 | 9360 | 1.0121 | 0.8106 | 0.8106 |
|
| 66 |
+
| 0.1352 | 14.0 | 10080 | 1.0339 | 0.8136 | 0.8136 |
|
| 67 |
+
| 0.1115 | 15.0 | 10800 | 1.1091 | 0.8057 | 0.8057 |
|
| 68 |
+
| 0.0996 | 16.0 | 11520 | 1.1134 | 0.8151 | 0.8151 |
|
| 69 |
+
| 0.0837 | 17.0 | 12240 | 1.1288 | 0.8160 | 0.8160 |
|
| 70 |
+
| 0.0711 | 18.0 | 12960 | 1.1499 | 0.8155 | 0.8155 |
|
| 71 |
+
| 0.0594 | 19.0 | 13680 | 1.1622 | 0.8126 | 0.8126 |
|
| 72 |
+
| 0.0569 | 20.0 | 14400 | 1.1661 | 0.8136 | 0.8136 |
|
| 73 |
+
|
| 74 |
+
|
| 75 |
+
### Framework versions
|
| 76 |
+
|
| 77 |
+
- Transformers 4.24.0
|
| 78 |
+
- Pytorch 1.12.1+cu113
|
| 79 |
+
- Datasets 2.7.1
|
| 80 |
+
- Tokenizers 0.13.2
|