| license: apache-2.0 | |
| base_model: state-spaces/mamba-2.8b-slimpj | |
| datasets: | |
| - HuggingFaceH4/ultrachat_200k | |
| model-index: | |
| - name: mamba-2.8b-ultrachat | |
| results: [] | |
| # mamba-2.8b-ultrachat | |
| This model is a fine-tuned version of [state-spaces/mamba-2.8b-slimpj](https://huggingface.co/state-spaces/mamba-2.8b-slimpj) on the [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.1858 | |
| ## 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: 8 | |
| - gradient_accumulation_steps: 16 | |
| - total_train_batch_size: 512 | |
| - total_eval_batch_size: 32 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 2.0106 | 0.0 | 1 | 1.9092 | | |
| | 1.1783 | 0.62 | 250 | 1.1858 | | |
| ### Framework versions | |
| - Transformers 4.35.0 | |
| - Pytorch 2.1.1+cu121 | |
| - Datasets 2.14.6 | |
| - Tokenizers 0.14.1 | |