|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# Classify-model-v1.2 |
|
|
|
This model is a fine-tuned version of [Alibaba-NLP/gte-base-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2915 |
|
- Accuracy: 0.9375 |
|
|
|
## 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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.0241 | 1.0 | 11 | 0.3903 | 0.8482 | |
|
| 0.2103 | 2.0 | 22 | 0.2814 | 0.8929 | |
|
| 0.0637 | 3.0 | 33 | 0.2157 | 0.9196 | |
|
| 0.023 | 4.0 | 44 | 0.2686 | 0.9375 | |
|
| 0.0147 | 5.0 | 55 | 0.3088 | 0.9286 | |
|
| 0.0091 | 6.0 | 66 | 0.2554 | 0.9375 | |
|
| 0.0055 | 7.0 | 77 | 0.2785 | 0.9464 | |
|
| 0.0054 | 8.0 | 88 | 0.2852 | 0.9464 | |
|
| 0.0033 | 9.0 | 99 | 0.2899 | 0.9375 | |
|
| 0.0034 | 10.0 | 110 | 0.2915 | 0.9375 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.15.2 |
|
|
