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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1502
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.3823 | 0.35 | 100 | 4.2083 |
| 3.72 | 0.69 | 200 | 3.2991 |
| 3.1185 | 1.04 | 300 | 2.8394 |
| 2.7284 | 1.39 | 400 | 2.5546 |
| 2.4932 | 1.74 | 500 | 2.3679 |
| 2.3408 | 2.08 | 600 | 2.2430 |
| 2.1997 | 2.43 | 700 | 2.1748 |
| 2.1631 | 2.78 | 800 | 2.1502 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2