---
base_model: linker_v4/stage1
tags:
- generated_from_trainer
datasets:
- jarod0411/linker_v2
metrics:
- accuracy
model-index:
- name: stage2
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
    dataset:
      name: jarod0411/linker_v2
      type: jarod0411/linker_v2
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8953714759150758
---

<!-- 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

This model is a fine-tuned version of [linker_v4/stage1](https://huggingface.co/linker_v4/stage1) on the jarod0411/linker_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3246
- Accuracy: 0.8954

## 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: 16
- eval_batch_size: 16
- seed: 1
- distributed_type: multi-GPU
- num_devices: 5
- total_train_batch_size: 80
- total_eval_batch_size: 80
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 0.3608        | 1.0   | 43075  | 0.3509          | 0.8883   |
| 0.3495        | 2.0   | 86150  | 0.3408          | 0.8910   |
| 0.3435        | 3.0   | 129225 | 0.3355          | 0.8925   |
| 0.3394        | 4.0   | 172300 | 0.3322          | 0.8933   |
| 0.3367        | 5.0   | 215375 | 0.3298          | 0.8940   |
| 0.3343        | 6.0   | 258450 | 0.3279          | 0.8945   |
| 0.3326        | 7.0   | 301525 | 0.3267          | 0.8948   |
| 0.3311        | 8.0   | 344600 | 0.3256          | 0.8951   |
| 0.33          | 9.0   | 387675 | 0.3249          | 0.8953   |
| 0.3296        | 10.0  | 430750 | 0.3246          | 0.8954   |


### Framework versions

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