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

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# bert-reg-biencoder-mae

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: 0.2340
- Mse: 0.0819
- Mae: 0.2335
- Pearson Corr: 0.2475
- Spearman Corr: 0.1329
- Cosine Sim: 0.9022

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------------:|:-------------:|:----------:|
| 0.2846        | 1.0   | 21   | 0.2617          | 0.1153 | 0.2610 | 0.1327       | 0.0936        | 0.9053     |
| 0.2728        | 2.0   | 42   | 0.2310          | 0.0886 | 0.2304 | 0.0188       | 0.0316        | 0.8994     |
| 0.2511        | 3.0   | 63   | 0.2282          | 0.0847 | 0.2276 | 0.1716       | 0.1111        | 0.9058     |
| 0.2253        | 4.0   | 84   | 0.2333          | 0.0864 | 0.2329 | 0.1906       | 0.1191        | 0.9041     |
| 0.1993        | 5.0   | 105  | 0.2329          | 0.0822 | 0.2325 | 0.2303       | 0.1246        | 0.9016     |
| 0.1844        | 6.0   | 126  | 0.2357          | 0.0828 | 0.2352 | 0.2284       | 0.1254        | 0.9018     |
| 0.165         | 7.0   | 147  | 0.2340          | 0.0819 | 0.2335 | 0.2475       | 0.1329        | 0.9022     |


### Framework versions

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