metadata
license: apache-2.0
base_model: Alibaba-NLP/gte-base-en-v1.5
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Classify-model-v1.2
results: []
Classify-model-v1.2
This model is a fine-tuned version of Alibaba-NLP/gte-base-en-v1.5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2901
- Accuracy: 0.9464
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0269 | 1.0 | 11 | 0.3949 | 0.8482 |
| 0.2124 | 2.0 | 22 | 0.2804 | 0.8929 |
| 0.0651 | 3.0 | 33 | 0.2142 | 0.9107 |
| 0.0224 | 4.0 | 44 | 0.2613 | 0.9196 |
| 0.0111 | 5.0 | 55 | 0.3168 | 0.9375 |
| 0.0082 | 6.0 | 66 | 0.2658 | 0.9464 |
| 0.0053 | 7.0 | 77 | 0.2768 | 0.9464 |
| 0.0049 | 8.0 | 88 | 0.2901 | 0.9464 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2