metadata
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: Aravindan/gpt2out
datasets:
- generator
model-index:
- name: gpt2coder-instruct
results: []
gpt2coder-instruct
This model is a fine-tuned version of Aravindan/gpt2out on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.2879
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.624 | 0.0147 | 30 | 2.4234 |
| 2.5018 | 0.0294 | 60 | 2.3461 |
| 2.4781 | 0.0441 | 90 | 2.2879 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1