metadata
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
- gpt
model-index:
- name: gpt2_dolly_lite
results: []
datasets:
- tatsu-lab/alpaca
language:
- en
metrics:
- accuracy
library_name: transformers
gpt2_dolly_lite
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4067
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: 0.001
- train_batch_size: 8
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.708 | 1.0 | 1300 | 2.5611 |
| 2.1768 | 2.0 | 2600 | 2.4149 |
| 1.7189 | 3.0 | 3900 | 2.4067 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3