metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: prompt-extend-1epoch
results: []
prompt-extend-1epoch
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9530
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: 512
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.7574 | 1.0 | 3199 | 2.9530 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.11.0+cu102
- Datasets 2.9.0
- Tokenizers 0.13.2