--- license: apache-2.0 base_model: tiiuae/falcon-7b tags: - alignment-handbook - trl - sft - generated_from_trainer - trl - sft - generated_from_trainer datasets: - GAIR/lima model-index: - name: test results: [] --- # test This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the GAIR/lima dataset. It achieves the following results on the evaluation set: - Loss: 2.4176 ## 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: 2e-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - distributed_type: multi-GPU - num_devices: 16 - gradient_accumulation_steps: 2 - total_train_batch_size: 128 - total_eval_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 10.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.0635 | 0.91 | 5 | 1.9126 | | 1.9282 | 2.0 | 11 | 1.8814 | | 1.7541 | 2.91 | 16 | 2.2656 | | 1.5669 | 4.0 | 22 | 2.2188 | | 1.3975 | 4.91 | 27 | 2.2543 | | 1.2431 | 6.0 | 33 | 2.3338 | | 1.1081 | 6.91 | 38 | 2.3438 | | 1.0212 | 8.0 | 44 | 2.4276 | | 0.9554 | 8.91 | 49 | 2.4176 | | 0.9463 | 9.09 | 50 | 2.4176 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.1.2 - Datasets 2.14.6 - Tokenizers 0.15.2