--- license: apache-2.0 base_model: PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T tags: - generated_from_trainer model-index: - name: out results: [] datasets: - teknium/openhermes --- This model is a fine-tuned version of [PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T](https://huggingface.co./PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T) on the [openhermes](https://huggingface.co./datasets/teknium/openhermes) dataset. It achieves the following results on the evaluation set: - Loss: 1.2355 ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0002 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - total_train_batch_size: 8 - total_eval_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 100 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.4654 | 0.0 | 1 | 3.5326 | | 1.2162 | 0.05 | 1503 | 1.9335 | | 1.1918 | 0.1 | 3006 | 1.7391 | | 1.4188 | 0.15 | 4509 | 1.7574 | | 1.8281 | 0.2 | 6012 | 1.6704 | | 0.8639 | 0.25 | 7515 | 1.7459 | | 1.3764 | 0.3 | 9018 | 1.6832 | | 2.1172 | 0.35 | 10521 | 1.6398 | | 1.1855 | 0.4 | 12024 | 1.6007 | | 1.5604 | 0.45 | 13527 | 1.5256 | | 1.0224 | 0.5 | 15030 | 1.4891 | | 1.5582 | 0.55 | 16533 | 1.4903 | | 0.9489 | 0.6 | 18036 | 1.4179 | | 1.67 | 0.65 | 19539 | 1.4585 | | 0.8542 | 0.7 | 21042 | 1.3810 | | 1.5301 | 0.75 | 22545 | 1.3645 | | 0.951 | 0.8 | 24048 | 1.3087 | | 1.1791 | 0.85 | 25551 | 1.3018 | | 1.3342 | 0.9 | 27054 | 1.2595 | | 1.1221 | 0.95 | 28557 | 1.2355 | ### Framework versions - Transformers 4.34.0 - Pytorch 2.0.1+cu117 - Datasets 2.14.6 - Tokenizers 0.14.1