metadata
library_name: transformers
license: mit
base_model: erwanf/gpt2-mini
tags:
- generated_from_trainer
model-index:
- name: Chicken
results: []
Chicken
This model is a fine-tuned version of erwanf/gpt2-mini on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1084
- Model Preparation Time: 0.0009
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: 0.001141
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 4.2989 | 1.0 | 5085 | 4.3149 | 0.0009 |
| 3.8894 | 2.0 | 10170 | 4.1084 | 0.0009 |
Framework versions
- Transformers 4.55.3
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4