--- 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](https://huggingface.co/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