metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2lm
results: []
gpt2lm
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2929
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5666 | 0.16 | 5000 | 1.8018 |
| 1.6685 | 0.31 | 10000 | 1.5932 |
| 1.4956 | 0.47 | 15000 | 1.4797 |
| 1.3802 | 0.62 | 20000 | 1.3924 |
| 1.2885 | 0.78 | 25000 | 1.3243 |
| 1.2355 | 0.93 | 30000 | 1.2929 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2