product_titles_27M_bge-m3-retromae
This model is a fine-tuned version of 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
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