---
base_model: ybelkada/falcon-7b-sharded-bf16
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: my_thesis
  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. -->

# my_thesis

This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2940

## 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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 320

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.0695        | 0.1794 | 20   | 1.7234          |
| 1.7581        | 0.3587 | 40   | 1.3875          |
| 1.6152        | 0.5381 | 60   | 1.3234          |
| 1.7435        | 0.7175 | 80   | 1.2944          |
| 1.3584        | 0.8969 | 100  | 1.2529          |
| 1.385         | 1.0762 | 120  | 1.2271          |
| 1.3231        | 1.2556 | 140  | 1.3666          |
| 1.2051        | 1.4350 | 160  | 1.2044          |
| 1.1207        | 1.6143 | 180  | 1.2379          |
| 1.1716        | 1.7937 | 200  | 1.1969          |
| 1.31          | 1.9731 | 220  | 1.2153          |
| 0.9115        | 2.1525 | 240  | 1.2411          |
| 0.7857        | 2.3318 | 260  | 1.2940          |


### Framework versions

- PEFT 0.12.1.dev0
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1