metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- anli
model-index:
- name: sft-trl
results: []
sft-trl
This model is a fine-tuned version of EleutherAI/gpt-j-6b on the anli dataset. It achieves the following results on the evaluation set:
- Loss: 0.6837
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1859 | 0.2 | 1000 | 2.0019 |
| 1.1342 | 0.4 | 2000 | 1.5352 |
| 0.8871 | 0.6 | 3000 | 1.0923 |
| 0.591 | 0.8 | 4000 | 0.8373 |
| 0.3165 | 1.0 | 5000 | 0.7852 |
| 0.3205 | 1.2 | 6000 | 0.7531 |
| 0.2338 | 1.4 | 7000 | 0.7155 |
| 0.2922 | 1.6 | 8000 | 0.6837 |
| 0.2427 | 1.8 | 9000 | 0.6837 |
| 0.2036 | 2.0 | 10000 | 0.6837 |
| 0.1205 | 2.2 | 11000 | 0.6837 |
| 0.2275 | 2.4 | 12000 | 0.6837 |
| 0.1094 | 2.6 | 13000 | 0.6837 |
| 0.1507 | 2.8 | 14000 | 0.6837 |
| 0.1739 | 3.0 | 15000 | 0.6837 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3