metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: lmd-8bars-2048-epochs10
results: []
lmd-8bars-2048-epochs10
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4177
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: 0.001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 1
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9314 | 1.23 | 512 | 3.1779 |
| 2.8676 | 2.46 | 1024 | 2.5484 |
| 2.4108 | 3.7 | 1536 | 2.2233 |
| 2.1046 | 4.93 | 2048 | 1.9336 |
| 1.8244 | 6.16 | 2560 | 1.6851 |
| 1.5962 | 7.39 | 3072 | 1.5221 |
| 1.4629 | 8.63 | 3584 | 1.4346 |
| 1.3787 | 9.86 | 4096 | 1.4177 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0