| | --- |
| | license: apache-2.0 |
| | library_name: peft |
| | tags: |
| | - generated_from_trainer |
| | base_model: tiiuae/falcon-7b-instruct |
| | datasets: |
| | - scitldr |
| | model-index: |
| | - name: Falcon-Summarization |
| | results: [] |
| | pipeline_tag: summarization |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # Falcon-Summarization |
| |
|
| | This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) on the scitldr dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.5006 |
| |
|
| | ## 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: 0.0002 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 2 |
| | - num_epochs: 2 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.4431 | 0.2 | 200 | 2.5148 | |
| | | 2.376 | 0.4 | 400 | 2.5112 | |
| | | 2.4269 | 0.6 | 600 | 2.4901 | |
| | | 2.368 | 0.8 | 800 | 2.4763 | |
| | | 2.372 | 1.0 | 1000 | 2.4684 | |
| | | 2.0904 | 1.2 | 1200 | 2.5018 | |
| | | 2.099 | 1.41 | 1400 | 2.5137 | |
| | | 2.0482 | 1.61 | 1600 | 2.4993 | |
| | | 1.9974 | 1.81 | 1800 | 2.5006 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.10.0 |
| | - Transformers 4.38.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.15.2 |
