README.md

---
license: mit
base_model: jarod0411/linker_v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: linker_v3
  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. -->

# linker_v3

This model is a fine-tuned version of [jarod0411/linker_v2](https://huggingface.co/jarod0411/linker_v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2291
- Accuracy: 0.9209

## 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: 8
- eval_batch_size: 8
- seed: 1
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 0.2532        | 1.0   | 33912  | 0.2459          | 0.9160   |
| 0.2433        | 2.0   | 67824  | 0.2392          | 0.9179   |
| 0.2384        | 3.0   | 101736 | 0.2358          | 0.9188   |
| 0.2354        | 4.0   | 135648 | 0.2336          | 0.9195   |
| 0.2331        | 5.0   | 169560 | 0.2322          | 0.9199   |
| 0.2307        | 6.0   | 203472 | 0.2311          | 0.9202   |
| 0.2293        | 7.0   | 237384 | 0.2303          | 0.9205   |
| 0.2282        | 8.0   | 271296 | 0.2297          | 0.9207   |
| 0.2274        | 9.0   | 305208 | 0.2293          | 0.9208   |
| 0.2269        | 10.0  | 339120 | 0.2291          | 0.9209   |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0