metadata
library_name: transformers
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: orca-gpt4-wik-revise
results: []
orca-gpt4-wik-revise
This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.0593
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 |
|---|---|---|---|
| 1.3697 | 0.9389 | 12 | 1.2250 |
| 1.0231 | 1.9560 | 25 | 1.0662 |
| 0.901 | 2.8166 | 36 | 1.0593 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1