metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: sft_cml4
results: []
sft_cml4
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6611
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: 3
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1822 | 0.1200 | 200 | 3.9880 |
| 3.9009 | 0.2400 | 400 | 3.9248 |
| 3.7846 | 0.3599 | 600 | 3.9328 |
| 3.7095 | 0.4799 | 800 | 3.8393 |
| 3.5043 | 0.5999 | 1000 | 3.8130 |
| 3.4826 | 0.7199 | 1200 | 3.7608 |
| 3.3511 | 0.8398 | 1400 | 3.6997 |
| 3.3243 | 0.9598 | 1600 | 3.6349 |
| 2.5235 | 1.0798 | 1800 | 3.7826 |
| 2.0758 | 1.1998 | 2000 | 3.7627 |
| 2.0932 | 1.3197 | 2200 | 3.7233 |
| 1.9962 | 1.4397 | 2400 | 3.7059 |
| 2.0072 | 1.5597 | 2600 | 3.6756 |
| 1.9642 | 1.6797 | 2800 | 3.6801 |
| 1.9062 | 1.7996 | 3000 | 3.6658 |
| 1.9279 | 1.9196 | 3200 | 3.6611 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1