metadata
license: apache-2.0
base_model: EleutherAI/gpt-j-6b
tags:
- generated_from_trainer
model-index:
- name: gpt-j-6b_text_detection
results: []
gpt-j-6b_text_detection
This model is a fine-tuned version of EleutherAI/gpt-j-6b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0529
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: 1
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2716 | 1.0 | 384 | 0.0529 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3