peft tensorboard safetensors generated_from_trainer summarization dataset:scitldr base_model:tiiuae/falcon-7b-instruct base_model:adapter:tiiuae/falcon-7b-instruct license:apache-2.0 region:us
---
base_model: tiiuae/falcon-7b-instruct
datasets:
- scitldr
library_name: peft
license: apache-2.0
pipeline_tag: summarization
tags:
- generated_from_trainer
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