metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2_bitnet_logit_distillation_test_metrics2
results: []
gpt2_bitnet_logit_distillation_test_metrics2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6037.7598
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: 4e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0 | 0 | 7592.9600 |
| 6688.0 | 1.0 | 57 | 6287.3599 |
| 5824.0 | 2.0 | 114 | 6044.1602 |
| 6400.0 | 3.0 | 171 | 6037.7598 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.19.1