---
base_model: linker_v5/stage1
tags:
- generated_from_trainer
datasets:
- jarod0411/linker_v3
metrics:
- accuracy
model-index:
- name: stage2_v5
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
    dataset:
      name: jarod0411/linker_v3
      type: jarod0411/linker_v3
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.916456858900755
---

<!-- 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. -->

# stage2_v5

This model is a fine-tuned version of [linker_v5/stage1](https://huggingface.co./linker_v5/stage1) on the jarod0411/linker_v3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2448
- Accuracy: 0.9165

## 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: 24
- eval_batch_size: 24
- seed: 1
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 192
- total_eval_batch_size: 192
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 0.3173        | 1.0   | 11304  | 0.2837          | 0.9060   |
| 0.284         | 2.0   | 22608  | 0.2613          | 0.9124   |
| 0.2719        | 3.0   | 33912  | 0.2546          | 0.9140   |
| 0.2654        | 4.0   | 45216  | 0.2511          | 0.9148   |
| 0.2613        | 5.0   | 56520  | 0.2489          | 0.9154   |
| 0.2586        | 6.0   | 67824  | 0.2474          | 0.9158   |
| 0.2569        | 7.0   | 79128  | 0.2463          | 0.9161   |
| 0.2553        | 8.0   | 90432  | 0.2455          | 0.9163   |
| 0.2545        | 9.0   | 101736 | 0.2450          | 0.9164   |
| 0.2539        | 10.0  | 113040 | 0.2448          | 0.9165   |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2