|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: bert-base-uncased |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: bert-reg-crossencoder-contrastive |
|
|
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. --> |
|
|
|
|
|
# bert-reg-crossencoder-contrastive |
|
|
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.0001 |
|
|
- Mse: 0.2717 |
|
|
- Mae: 0.4451 |
|
|
- Pearson Corr: -0.2034 |
|
|
- Spearman Corr: -0.1953 |
|
|
- Cosine Sim: 0.9027 |
|
|
|
|
|
## 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 |
|
|
- lr_scheduler_warmup_steps: 100 |
|
|
- num_epochs: 7 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | Pearson Corr | Spearman Corr | Cosine Sim | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------------:|:-------------:|:----------:| |
|
|
| 0.0148 | 1.0 | 41 | 0.0014 | 0.2889 | 0.4614 | -0.1243 | -0.0625 | 0.9003 | |
|
|
| 0.0096 | 2.0 | 82 | 0.0074 | 0.3706 | 0.5451 | -0.0433 | -0.0347 | 0.9030 | |
|
|
| 0.0059 | 3.0 | 123 | 0.0001 | 0.2549 | 0.4285 | -0.0372 | -0.0585 | 0.9032 | |
|
|
| 0.004 | 4.0 | 164 | 0.0023 | 0.3175 | 0.4940 | -0.0783 | -0.0715 | 0.9029 | |
|
|
| 0.0026 | 5.0 | 205 | 0.0003 | 0.2770 | 0.4519 | -0.0308 | -0.0070 | 0.9033 | |
|
|
| 0.0019 | 6.0 | 246 | 0.0002 | 0.2771 | 0.4512 | -0.1884 | -0.1805 | 0.9028 | |
|
|
| 0.0018 | 7.0 | 287 | 0.0001 | 0.2717 | 0.4451 | -0.2034 | -0.1953 | 0.9027 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.44.2 |
|
|
- Pytorch 2.5.0+cu121 |
|
|
- Datasets 3.1.0 |
|
|
- Tokenizers 0.19.1 |
|
|
|
