update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- spearmanr
|
| 7 |
+
model-index:
|
| 8 |
+
- name: tiny-vanilla-target-glue-stsb
|
| 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 |
+
# tiny-vanilla-target-glue-stsb
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.8716
|
| 20 |
+
- Pearson: 0.8141
|
| 21 |
+
- Spearmanr: 0.8126
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 3e-05
|
| 41 |
+
- train_batch_size: 32
|
| 42 |
+
- eval_batch_size: 32
|
| 43 |
+
- seed: 42
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: constant
|
| 46 |
+
- num_epochs: 200
|
| 47 |
+
|
| 48 |
+
### Training results
|
| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|
| 51 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
|
| 52 |
+
| 3.1371 | 2.78 | 500 | 1.1225 | 0.7236 | 0.7292 |
|
| 53 |
+
| 0.9656 | 5.56 | 1000 | 1.0702 | 0.7703 | 0.7991 |
|
| 54 |
+
| 0.7396 | 8.33 | 1500 | 1.0547 | 0.7931 | 0.8189 |
|
| 55 |
+
| 0.6264 | 11.11 | 2000 | 0.9011 | 0.8123 | 0.8214 |
|
| 56 |
+
| 0.5242 | 13.89 | 2500 | 0.8999 | 0.8135 | 0.8174 |
|
| 57 |
+
| 0.4756 | 16.67 | 3000 | 0.9771 | 0.8142 | 0.8192 |
|
| 58 |
+
| 0.4225 | 19.44 | 3500 | 0.9021 | 0.8168 | 0.8176 |
|
| 59 |
+
| 0.3879 | 22.22 | 4000 | 0.9447 | 0.8176 | 0.8181 |
|
| 60 |
+
| 0.3547 | 25.0 | 4500 | 0.8787 | 0.8226 | 0.8216 |
|
| 61 |
+
| 0.3355 | 27.78 | 5000 | 0.9789 | 0.8157 | 0.8169 |
|
| 62 |
+
| 0.3143 | 30.56 | 5500 | 0.9259 | 0.8152 | 0.8149 |
|
| 63 |
+
| 0.2925 | 33.33 | 6000 | 0.8716 | 0.8141 | 0.8126 |
|
| 64 |
+
|
| 65 |
+
|
| 66 |
+
### Framework versions
|
| 67 |
+
|
| 68 |
+
- Transformers 4.26.0.dev0
|
| 69 |
+
- Pytorch 1.13.0+cu116
|
| 70 |
+
- Datasets 2.8.1.dev0
|
| 71 |
+
- Tokenizers 0.13.2
|