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---
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
|