---
license: mit
base_model: avsolatorio/GIST-small-Embedding-v0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GIST-small-Embedding-v0-finetuned
  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. -->

# GIST-small-Embedding-v0-finetuned

This model is a fine-tuned version of [avsolatorio/GIST-small-Embedding-v0](https://huggingface.co/avsolatorio/GIST-small-Embedding-v0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5441
- Accuracy: 0.75

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 23   | 0.5764          | 0.675    |
| No log        | 2.0   | 46   | 0.5598          | 0.7      |
| No log        | 3.0   | 69   | 0.5441          | 0.75     |
| No log        | 4.0   | 92   | 0.5355          | 0.75     |
| No log        | 5.0   | 115  | 0.5432          | 0.75     |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1