---
library_name: transformers
license: mit
base_model: BAAI/bge-small-en-v1.5
tags:
- generated_from_trainer
model-index:
- name: bge-small-en-v1.5-2024-12-07_11-40-21-quality-weight-0.3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bge-small-en-v1.5-2024-12-07_11-40-21-quality-weight-0.3

This model is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0204
- Spearman: 0.9287
- Pearson: 0.9299
- Mse: 0.0204

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Spearman | Pearson | Mse    |
|:-------------:|:------:|:-----:|:---------------:|:--------:|:-------:|:------:|
| 0.0308        | 0.3998 | 1055  | 0.0270          | 0.9002   | 0.9029  | 0.0270 |
| 0.026         | 0.7997 | 2110  | 0.0243          | 0.9100   | 0.9139  | 0.0243 |
| 0.0226        | 1.1995 | 3165  | 0.0237          | 0.9153   | 0.9187  | 0.0237 |
| 0.0222        | 1.5994 | 4220  | 0.0214          | 0.9218   | 0.9243  | 0.0214 |
| 0.0202        | 1.9992 | 5275  | 0.0217          | 0.9228   | 0.9265  | 0.0217 |
| 0.0175        | 2.3991 | 6330  | 0.0209          | 0.9235   | 0.9282  | 0.0209 |
| 0.0163        | 2.7989 | 7385  | 0.0202          | 0.9258   | 0.9299  | 0.0202 |
| 0.0127        | 3.1988 | 8440  | 0.0204          | 0.9268   | 0.9291  | 0.0204 |
| 0.0137        | 3.5986 | 9495  | 0.0201          | 0.9279   | 0.9308  | 0.0201 |
| 0.0142        | 3.9985 | 10550 | 0.0199          | 0.9278   | 0.9310  | 0.0199 |
| 0.0106        | 4.3983 | 11605 | 0.0202          | 0.9280   | 0.9309  | 0.0202 |
| 0.012         | 4.7982 | 12660 | 0.0202          | 0.9282   | 0.9310  | 0.0202 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 2.19.2
- Tokenizers 0.20.3