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---
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: []
---
<!-- 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 |