metadata
license: mit
base_model: Aravindan/gpt2out
tags:
- generated_from_trainer
model-index:
- name: gpt2coder-8epochs
results: []
gpt2coder-8epochs
This model is a fine-tuned version of Aravindan/gpt2out on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9718
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 125 | 3.1181 |
| No log | 2.0 | 250 | 2.6411 |
| No log | 3.0 | 375 | 2.4035 |
| 2.9711 | 4.0 | 500 | 2.2375 |
| 2.9711 | 5.0 | 625 | 2.1289 |
| 2.9711 | 6.0 | 750 | 2.0475 |
| 2.9711 | 7.0 | 875 | 1.9931 |
| 2.1959 | 8.0 | 1000 | 1.9718 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1