---
library_name: transformers
license: mit
base_model: BAAI/bge-m3-retromae
tags:
- generated_from_trainer
model-index:
- name: product_titles_27M_bge-m3-retromae
  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. -->

# product_titles_27M_bge-m3-retromae

This model is a fine-tuned version of [BAAI/bge-m3-retromae](https://huggingface.co/BAAI/bge-m3-retromae) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9131

## 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: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step    | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 1.2511        | 1.0   | 211942  | 1.1260          |
| 1.1104        | 2.0   | 423884  | 1.0256          |
| 1.0412        | 3.0   | 635826  | 0.9685          |
| 0.9943        | 4.0   | 847768  | 0.9336          |
| 0.9631        | 5.0   | 1059710 | 0.9131          |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.9.0+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1