Model save
Browse files- README.md +68 -0
- pytorch_model.bin +1 -1
README.md
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: ys7yoo/nli_roberta-large_lr1e-05_wd1e-03_ep3
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- klue
|
| 7 |
+
model-index:
|
| 8 |
+
- name: sts_nli_roberta-large_lr1e-05_wd1e-03_ep3_lr1e-05_wd1e-03_ep7_ckpt
|
| 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 |
+
# sts_nli_roberta-large_lr1e-05_wd1e-03_ep3_lr1e-05_wd1e-03_ep7_ckpt
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [ys7yoo/nli_roberta-large_lr1e-05_wd1e-03_ep3](https://huggingface.co/ys7yoo/nli_roberta-large_lr1e-05_wd1e-03_ep3) on the klue dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.3202
|
| 20 |
+
- Mse: 0.3202
|
| 21 |
+
- Mae: 0.4109
|
| 22 |
+
- R2: 0.8534
|
| 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: 1e-05
|
| 42 |
+
- train_batch_size: 64
|
| 43 |
+
- eval_batch_size: 64
|
| 44 |
+
- seed: 42
|
| 45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
+
- lr_scheduler_type: linear
|
| 47 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 48 |
+
- num_epochs: 7
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 |
|
| 53 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
|
| 54 |
+
| 1.0857 | 1.0 | 183 | 0.4208 | 0.4208 | 0.4787 | 0.8073 |
|
| 55 |
+
| 0.1397 | 2.0 | 366 | 0.3135 | 0.3135 | 0.4191 | 0.8565 |
|
| 56 |
+
| 0.0989 | 3.0 | 549 | 0.3468 | 0.3468 | 0.4261 | 0.8412 |
|
| 57 |
+
| 0.0757 | 4.0 | 732 | 0.3006 | 0.3006 | 0.3959 | 0.8623 |
|
| 58 |
+
| 0.0601 | 5.0 | 915 | 0.4034 | 0.4034 | 0.4669 | 0.8153 |
|
| 59 |
+
| 0.0502 | 6.0 | 1098 | 0.3357 | 0.3357 | 0.4221 | 0.8463 |
|
| 60 |
+
| 0.0429 | 7.0 | 1281 | 0.3202 | 0.3202 | 0.4109 | 0.8534 |
|
| 61 |
+
|
| 62 |
+
|
| 63 |
+
### Framework versions
|
| 64 |
+
|
| 65 |
+
- Transformers 4.33.2
|
| 66 |
+
- Pytorch 2.0.1+cu117
|
| 67 |
+
- Datasets 2.13.0
|
| 68 |
+
- Tokenizers 0.13.3
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1346765233
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1ab62cdc187488d9ea1dec1f4900325eeb11891112b6d1fecc9ac62c8492c8a0
|
| 3 |
size 1346765233
|