transformers pytorch mixformer-sequential text-generation generated_from_trainer custom_code base_model:pharaouk/zeta-1B autotrain_compatible region:us
---
base_model: pharaouk/zeta-1B
tags:
- generated_from_trainer
model-index:
- name: Scribe
  results: []
---

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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# Scribe

This model is a fine-tuned version of [pharaouk/zeta-1B](https://huggingface.co/pharaouk/zeta-1B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3360

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8223        | 0.01  | 1    | 1.8049          |
| 0.7051        | 0.2   | 32   | 1.4195          |
| 0.6256        | 0.4   | 64   | 1.3457          |
| 0.6337        | 0.6   | 96   | 1.3160          |
| 0.633         | 0.8   | 128  | 1.3076          |
| 0.6384        | 1.0   | 160  | 1.3060          |
| 0.5921        | 1.2   | 192  | 1.3058          |
| 0.5906        | 1.4   | 224  | 1.3152          |
| 0.5798        | 1.6   | 256  | 1.3133          |
| 0.592         | 1.8   | 288  | 1.3086          |
| 0.584         | 2.0   | 320  | 1.3070          |
| 0.5358        | 2.2   | 352  | 1.3183          |
| 0.5431        | 2.4   | 384  | 1.3199          |
| 0.5349        | 2.6   | 416  | 1.3217          |
| 0.543         | 2.8   | 448  | 1.3203          |
| 0.5298        | 3.0   | 480  | 1.3195          |
| 0.5029        | 3.2   | 512  | 1.3363          |
| 0.5157        | 3.4   | 544  | 1.3375          |
| 0.4971        | 3.6   | 576  | 1.3365          |
| 0.502         | 3.8   | 608  | 1.3360          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
