metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-XYZCompany-500-steps
results: []
gpt2-XYZCompany-500-steps
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3300
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.471 | 0.32 | 50 | 0.4135 |
| 0.4572 | 0.63 | 100 | 0.3736 |
| 0.3903 | 0.95 | 150 | 0.3574 |
| 0.3748 | 1.27 | 200 | 0.3474 |
| 0.3639 | 1.58 | 250 | 0.3413 |
| 0.3515 | 1.9 | 300 | 0.3366 |
| 0.3539 | 2.22 | 350 | 0.3337 |
| 0.3604 | 2.53 | 400 | 0.3319 |
| 0.3579 | 2.85 | 450 | 0.3305 |
| 0.3176 | 3.16 | 500 | 0.3300 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.17.1
- Tokenizers 0.13.2