---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: bert-reg-biencoder-mse
  results: []
---

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# bert-reg-biencoder-mse

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0817
- Mse: 0.0812
- Mae: 0.2278
- Pearson Corr: 0.2835
- Spearman Corr: 0.2331
- Cosine Sim: 0.9097

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------------:|:-------------:|:----------:|
| 0.1219        | 1.0   | 21   | 0.1124          | 0.1117 | 0.2560 | 0.1406       | 0.0993        | 0.9055     |
| 0.1017        | 2.0   | 42   | 0.0838          | 0.0833 | 0.2248 | 0.1312       | 0.1239        | 0.9045     |
| 0.0872        | 3.0   | 63   | 0.0778          | 0.0775 | 0.2205 | 0.2520       | 0.1374        | 0.9097     |
| 0.0694        | 4.0   | 84   | 0.0860          | 0.0856 | 0.2328 | 0.1923       | 0.1456        | 0.9037     |
| 0.0533        | 5.0   | 105  | 0.0958          | 0.0951 | 0.2418 | 0.3089       | 0.2252        | 0.9132     |
| 0.0478        | 6.0   | 126  | 0.0782          | 0.0778 | 0.2216 | 0.2913       | 0.2325        | 0.9096     |
| 0.0385        | 7.0   | 147  | 0.0817          | 0.0812 | 0.2278 | 0.2835       | 0.2331        | 0.9097     |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0