---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: ybelkada/falcon-7b-sharded-bf16
model-index:
- name: falcon-7b-sharded-bf16-finetuned-html-code-generation
  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-7b-sharded-bf16-finetuned-html-code-generation

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: 1.2923

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0699        | 0.18  | 20   | 1.7214          |
| 1.7563        | 0.36  | 40   | 1.3886          |
| 1.6152        | 0.54  | 60   | 1.3222          |
| 1.7419        | 0.72  | 80   | 1.2957          |
| 1.3596        | 0.9   | 100  | 1.2585          |
| 1.3861        | 1.08  | 120  | 1.2264          |
| 1.322         | 1.26  | 140  | 1.3842          |
| 1.2072        | 1.43  | 160  | 1.2038          |
| 1.1161        | 1.61  | 180  | 1.2392          |
| 1.1715        | 1.79  | 200  | 1.1981          |
| 1.3095        | 1.97  | 220  | 1.2134          |
| 0.9115        | 2.15  | 240  | 1.2422          |
| 0.7851        | 2.33  | 260  | 1.2923          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0