metadata
tags:
- generated_from_trainer
model-index:
- name: gpt2_nw
results: []
gpt2_nw
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8193
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9039 | 0.67 | 500 | 2.4355 |
| 2.3817 | 1.34 | 1000 | 2.1330 |
| 2.1825 | 2.01 | 1500 | 1.9797 |
| 2.0275 | 2.68 | 2000 | 1.8799 |
| 1.9089 | 3.35 | 2500 | 1.8193 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0