Commit
·
78c1219
1
Parent(s):
ea464ca
Update README.md
Browse files
README.md
CHANGED
|
@@ -2,4 +2,63 @@
|
|
| 2 |
license: apache-2.0
|
| 3 |
language:
|
| 4 |
- es
|
| 5 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
language:
|
| 4 |
- es
|
| 5 |
+
---
|
| 6 |
+
|
| 7 |
+
<div style="text-align:center;width:350px;height:350px;">
|
| 8 |
+
<img src="https://huggingface.co/hackathon-somos-nlp-2023/bertin-gpt-j-6B-es-finetuned-salpaca/resolve/main/Alpaca.png" alt="SAlpaca logo"">
|
| 9 |
+
</div>
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
# SAlpaca: Spanish + Alpaca (WIP)
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
## Adapter Description
|
| 17 |
+
This adapter was created with the [PEFT](https://github.com/huggingface/peft) library and allowed the base model *bertin-project/bertin-gpt-j-6B* to be fine-tuned on the *Spanish Alpaca Dataset* by using the method *LoRA*.
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## How to use
|
| 21 |
+
```py
|
| 22 |
+
import torch
|
| 23 |
+
from peft import PeftModel, PeftConfig
|
| 24 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 25 |
+
|
| 26 |
+
peft_model_id = "hackathon-somos-nlp-2023/bertin-gpt-j-6B-es-finetuned-salpaca"
|
| 27 |
+
config = PeftConfig.from_pretrained(peft_model_id)
|
| 28 |
+
model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, return_dict=True, load_in_8bit=True, device_map='auto')
|
| 29 |
+
# tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
|
| 30 |
+
tokenizer = AutoTokenizer.from_pretrained(peft_model_id)
|
| 31 |
+
|
| 32 |
+
# Load the Lora model
|
| 33 |
+
model = PeftModel.from_pretrained(model, peft_model_id)
|
| 34 |
+
|
| 35 |
+
def gen_conversation(text):
|
| 36 |
+
text = "<SC>instruction: " + text + "\n "
|
| 37 |
+
batch = tokenizer(text, return_tensors='pt')
|
| 38 |
+
with torch.cuda.amp.autocast():
|
| 39 |
+
output_tokens = model.generate(**batch, max_new_tokens=256, eos_token_id=50258, early_stopping = True, temperature=.9)
|
| 40 |
+
|
| 41 |
+
print('\n\n', tokenizer.decode(output_tokens[0], skip_special_tokens=False))
|
| 42 |
+
|
| 43 |
+
text = "hola"
|
| 44 |
+
|
| 45 |
+
gen_conversation(text)
|
| 46 |
+
```
|
| 47 |
+
|
| 48 |
+
|
| 49 |
+
## Resources used
|
| 50 |
+
Google Colab machine with the following specifications
|
| 51 |
+
<div style="text-align:center;width:550px;height:550px;">
|
| 52 |
+
<img src="https://huggingface.co/hackathon-somos-nlp-2023/bertin-gpt-j-6B-es-finetuned-salpaca/resolve/main/resource.jpeg" alt="Resource logo">
|
| 53 |
+
</div>
|
| 54 |
+
|
| 55 |
+
## Citation
|
| 56 |
+
```
|
| 57 |
+
@misc {hackathon-somos-nlp-2023,
|
| 58 |
+
author = { {Edison Bejarano, Leonardo Bolaños, Alberto Ceballos, Santiago Pineda, Nicolay Potes} },
|
| 59 |
+
title = { SAlpaca },
|
| 60 |
+
year = 2023,
|
| 61 |
+
url = { https://huggingface.co/hackathon-somos-nlp-2023/bertin-gpt-j-6B-es-finetuned-salpaca }
|
| 62 |
+
publisher = { Hugging Face }
|
| 63 |
+
}
|
| 64 |
+
```
|