| base_model: meta-llama/Llama-2-7b-chat-hf | |
| tags: | |
| - generated_from_trainer | |
| - LLAMA2 | |
| - SAMSUM | |
| - XSUM | |
| - SUMMARISATION | |
| - DIALOG | |
| datasets: | |
| - samsum | |
| model-index: | |
| - name: llama-output | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # llama-output | |
| This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the samsum dataset. | |
| ## Model description | |
| The model is a fine-tuned version of Llama-2-7b-chat-hf using int8 quantization and LoRA. By using this configuration, approximately 6% of parameters are trainable. | |
| ## Intended uses & limitations | |
| It is intended to improve the summarisation capacities of Llama 2 7B on dialogs, expecting to produce a concise brief. | |
| As it is trained on the dataset SamSum, the terms of use are limited to those of the non-commercial licence: CC BY-NC-ND 4.0 | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 0.0001 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 2 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.33.1 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.14.5 | |
| - Tokenizers 0.13.3 |