---
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: orca-gpt4-wik-revise
  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. -->

# orca-gpt4-wik-revise

This model was trained from scratch on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0547

## 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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 1024
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.4332        | 0.9505 | 12   | 1.2468          |
| 1.0421        | 1.9802 | 25   | 1.0650          |
| 0.9193        | 2.8515 | 36   | 1.0547          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1