metadata
license: mit
base_model: BAAI/bge-small-en-v1.5
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: best_model
results: []
best_model
This model is a fine-tuned version of BAAI/bge-small-en-v1.5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2144
- Accuracy: 1.0
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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 14 | 1.5615 | 0.7826 |
| No log | 2.0 | 28 | 1.2408 | 0.8913 |
| No log | 3.0 | 42 | 0.9712 | 0.9130 |
| No log | 4.0 | 56 | 0.7769 | 0.9783 |
| No log | 5.0 | 70 | 0.6251 | 1.0 |
| No log | 6.0 | 84 | 0.5102 | 1.0 |
| No log | 7.0 | 98 | 0.4342 | 1.0 |
| No log | 8.0 | 112 | 0.3669 | 1.0 |
| No log | 9.0 | 126 | 0.3205 | 1.0 |
| No log | 10.0 | 140 | 0.2853 | 1.0 |
| No log | 11.0 | 154 | 0.2599 | 1.0 |
| No log | 12.0 | 168 | 0.2426 | 1.0 |
| No log | 13.0 | 182 | 0.2309 | 1.0 |
| No log | 14.0 | 196 | 0.2245 | 1.0 |
| No log | 15.0 | 210 | 0.2224 | 1.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Tokenizers 0.15.0