Commit
•
03b38db
1
Parent(s):
0753e50
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- f1
|
| 7 |
+
model-index:
|
| 8 |
+
- name: distilbert-base-uncased_fold_4_ternary
|
| 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 |
+
# distilbert-base-uncased_fold_4_ternary
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 1.2981
|
| 20 |
+
- F1: 0.7565
|
| 21 |
+
|
| 22 |
+
## Model description
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Intended uses & limitations
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training and evaluation data
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training procedure
|
| 35 |
+
|
| 36 |
+
### Training hyperparameters
|
| 37 |
+
|
| 38 |
+
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 2e-05
|
| 40 |
+
- train_batch_size: 16
|
| 41 |
+
- eval_batch_size: 16
|
| 42 |
+
- seed: 42
|
| 43 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 44 |
+
- lr_scheduler_type: linear
|
| 45 |
+
- num_epochs: 25
|
| 46 |
+
|
| 47 |
+
### Training results
|
| 48 |
+
|
| 49 |
+
| Training Loss | Epoch | Step | Validation Loss | F1 |
|
| 50 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
| 51 |
+
| No log | 1.0 | 289 | 0.5588 | 0.6984 |
|
| 52 |
+
| 0.5547 | 2.0 | 578 | 0.5283 | 0.7336 |
|
| 53 |
+
| 0.5547 | 3.0 | 867 | 0.7038 | 0.7202 |
|
| 54 |
+
| 0.2479 | 4.0 | 1156 | 0.8949 | 0.7284 |
|
| 55 |
+
| 0.2479 | 5.0 | 1445 | 0.9959 | 0.7286 |
|
| 56 |
+
| 0.1181 | 6.0 | 1734 | 1.0663 | 0.7311 |
|
| 57 |
+
| 0.0508 | 7.0 | 2023 | 1.2377 | 0.7054 |
|
| 58 |
+
| 0.0508 | 8.0 | 2312 | 1.2981 | 0.7565 |
|
| 59 |
+
| 0.0185 | 9.0 | 2601 | 1.3532 | 0.7407 |
|
| 60 |
+
| 0.0185 | 10.0 | 2890 | 1.5365 | 0.7333 |
|
| 61 |
+
| 0.0103 | 11.0 | 3179 | 1.5184 | 0.7423 |
|
| 62 |
+
| 0.0103 | 12.0 | 3468 | 1.6009 | 0.7420 |
|
| 63 |
+
| 0.0123 | 13.0 | 3757 | 1.6395 | 0.7402 |
|
| 64 |
+
| 0.008 | 14.0 | 4046 | 1.6838 | 0.7429 |
|
| 65 |
+
| 0.008 | 15.0 | 4335 | 1.6176 | 0.7490 |
|
| 66 |
+
| 0.0012 | 16.0 | 4624 | 1.7873 | 0.7345 |
|
| 67 |
+
| 0.0012 | 17.0 | 4913 | 1.6761 | 0.7412 |
|
| 68 |
+
| 0.0044 | 18.0 | 5202 | 1.7356 | 0.7417 |
|
| 69 |
+
| 0.0044 | 19.0 | 5491 | 1.7686 | 0.7502 |
|
| 70 |
+
| 0.0045 | 20.0 | 5780 | 1.7668 | 0.7406 |
|
| 71 |
+
| 0.0017 | 21.0 | 6069 | 1.8411 | 0.7381 |
|
| 72 |
+
| 0.0017 | 22.0 | 6358 | 1.8147 | 0.7469 |
|
| 73 |
+
| 0.0012 | 23.0 | 6647 | 1.8028 | 0.7489 |
|
| 74 |
+
| 0.0012 | 24.0 | 6936 | 1.8147 | 0.7453 |
|
| 75 |
+
| 0.0026 | 25.0 | 7225 | 1.8257 | 0.7475 |
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
### Framework versions
|
| 79 |
+
|
| 80 |
+
- Transformers 4.21.0
|
| 81 |
+
- Pytorch 1.12.0+cu113
|
| 82 |
+
- Datasets 2.4.0
|
| 83 |
+
- Tokenizers 0.12.1
|