File size: 1,745 Bytes
2ca70df |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
---
base_model: nghuyong/ernie-2.0-large-en
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: ernie-2.0-large-en-finetuned-stsb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ernie-2.0-large-en-finetuned-stsb
This model is a fine-tuned version of [nghuyong/ernie-2.0-large-en](https://huggingface.co/nghuyong/ernie-2.0-large-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3323
- Pearson: 0.9239
- Spearmanr: 0.9222
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
| No log | 1.0 | 360 | 0.4713 | 0.9092 | 0.9111 |
| 0.5167 | 2.0 | 720 | 0.4516 | 0.9180 | 0.9179 |
| 0.2 | 3.0 | 1080 | 0.3402 | 0.9238 | 0.9211 |
| 0.2 | 4.0 | 1440 | 0.3452 | 0.9238 | 0.9226 |
| 0.1002 | 5.0 | 1800 | 0.3323 | 0.9239 | 0.9222 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|