---
license: mit
base_model: thenlper/gte-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: checkpoint
  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. -->

# checkpoint

This model is a fine-tuned version of [thenlper/gte-large](https://huggingface.co/thenlper/gte-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1728
- Accuracy: 0.9545

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4496        | 1.0   | 11   | 0.8490          | 0.8      |
| 0.6028        | 2.0   | 22   | 0.3205          | 0.8909   |
| 0.183         | 3.0   | 33   | 0.2986          | 0.9273   |
| 0.0749        | 4.0   | 44   | 0.2600          | 0.9455   |
| 0.039         | 5.0   | 55   | 0.1932          | 0.9636   |
| 0.0208        | 6.0   | 66   | 0.1570          | 0.9636   |
| 0.0147        | 7.0   | 77   | 0.2016          | 0.9545   |
| 0.0119        | 8.0   | 88   | 0.1818          | 0.9545   |
| 0.0059        | 9.0   | 99   | 0.1700          | 0.9545   |
| 0.0048        | 10.0  | 110  | 0.1728          | 0.9545   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2