metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: prompt-extend
results: []
prompt-extend
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0437
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: 32
- eval_batch_size: 64
- 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_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.3538 | 0.32 | 500 | 4.7231 |
| 4.2863 | 0.64 | 1000 | 3.7473 |
| 3.5828 | 0.96 | 1500 | 3.2410 |
| 3.1699 | 1.28 | 2000 | 2.9410 |
| 2.9123 | 1.6 | 2500 | 2.7295 |
| 2.7413 | 1.92 | 3000 | 2.5568 |
| 2.5181 | 2.24 | 3500 | 2.4281 |
| 2.394 | 2.56 | 4000 | 2.3263 |
| 2.3157 | 2.88 | 4500 | 2.2393 |
| 2.1822 | 3.2 | 5000 | 2.1750 |
| 2.091 | 3.52 | 5500 | 2.1231 |
| 2.0489 | 3.84 | 6000 | 2.0844 |
| 1.9873 | 4.16 | 6500 | 2.0609 |
| 1.9335 | 4.48 | 7000 | 2.0487 |
| 1.9307 | 4.8 | 7500 | 2.0437 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2