transformers safetensors llama text-generation synthetic conversational es en dataset:Danielbrdz/Barcenas-Economia dataset:HiTZ/casimedicos-exp dataset:somosnlp/coser_resumenes dataset:csebuetnlp/CrossSum dataset:Iker/Document-Translation-en-es dataset:somosnlp/es-inclusive-language-it dataset:glaiveai/glaive-code-assistant-v3 dataset:glaiveai/glaive-function-calling-v2 dataset:Iker/InstructTranslation-EN-ES dataset:somosnlp/lenguaje-claro-dataset dataset:somosnlp/LingComp_QA dataset:Iker/NoticIA dataset:teknium/OpenHermes-2.5 dataset:Iker/OpenHermes-2.5-Spanish dataset:Helsinki-NLP/opus-100 dataset:projecte-aina/RAG_Multilingual dataset:HiTZ/This-is-not-a-dataset dataset:Iker/Reddit-Post-Translation dataset:wikipedia base_model:meta-llama/Meta-Llama-3-8B-Instruct base_model:finetune:meta-llama/Meta-Llama-3-8B-Instruct license:llama3 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: meta-llama/Meta-Llama-3-8B-Instruct
datasets:
- Danielbrdz/Barcenas-Economia
- HiTZ/casimedicos-exp
- somosnlp/coser_resumenes
- csebuetnlp/CrossSum
- Iker/Document-Translation-en-es
- somosnlp/es-inclusive-language-it
- glaiveai/glaive-code-assistant-v3
- glaiveai/glaive-function-calling-v2
- Iker/InstructTranslation-EN-ES
- somosnlp/lenguaje-claro-dataset
- somosnlp/LingComp_QA
- Iker/NoticIA
- teknium/OpenHermes-2.5
- Iker/OpenHermes-2.5-Spanish
- Helsinki-NLP/opus-100
- projecte-aina/RAG_Multilingual
- HiTZ/This-is-not-a-dataset
- Iker/Reddit-Post-Translation
- wikipedia
language:
- es
- en
library_name: transformers
license: llama3
pipeline_tag: text-generation
tags:
- synthetic
---


![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/614a1ebb8f82f1df64d55126/2i_CasoeJTgQPNoBIfA8E.jpeg)


# Neurona 8B Beta: Un Modelo de Lenguage en Español

> Esta es una versión preliminar del dataset card. El modelo está en desarrollo y no es la versión final. Si quieres saber más sobre este modelo, escribe a iker.garciaf@ehu.eus


Neurona 8B es un modelo de lenguaje en Español. Esta es la segunda iteración y un experimento para poner a punto los scripts y la infraestructura. 

Neurona 8B ha sido entrenado con los siguiente datasets. No en todos los casos se ha usado el dataset completo

- [Danielbrdz/Barcenas-Economia](https://huggingface.co/datasets/Danielbrdz/Barcenas-Economia)
- [HiTZ/casimedicos-exp](https://huggingface.co/datasets/HiTZ/casimedicos-exp)
- [somosnlp/coser_resumenes](https://huggingface.co/datasets/somosnlp/coser_resumenes)
- [csebuetnlp/CrossSum en + es](https://huggingface.co/datasets/csebuetnlp/CrossSum)
- [Iker/Document-Translation-en-es](https://huggingface.co/datasets/Iker/Document-Translation-en-es)
- [somosnlp/es-inclusive-language-it](https://huggingface.co/datasets/somosnlp/es-inclusive-language-it)
- [glaiveai/glaive-code-assistant-v3](https://huggingface.co/datasets/glaiveai/glaive-code-assistant-v3)
- [glaiveai/glaive-function-calling-v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2)
- [Iker/InstructTranslation-EN-ES](https://huggingface.co/datasets/Iker/InstructTranslation-EN-ES)
- [somosnlp/lenguaje-claro-dataset](https://huggingface.co/datasets/somosnlp/lenguaje-claro-dataset)
- [somosnlp/LingComp_QA](https://huggingface.co/datasets/somosnlp/LingComp_QA)
- [Iker/NoticIA](https://huggingface.co/datasets/Iker/NoticIA)
- [teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5)
- [Iker/OpenHermes-2.5-Spanish](https://huggingface.co/datasets/Iker/OpenHermes-2.5-Spanish)
- [Helsinki-NLP/opus-100 en es](https://huggingface.co/datasets/Helsinki-NLP/opus-100)
- [projecte-aina/RAG_Multilingual](https://huggingface.co/datasets/projecte-aina/RAG_Multilingual)
- [HiTZ/This-is-not-a-dataset](https://huggingface.co/datasets/HiTZ/This-is-not-a-dataset)
- [wikipedia es](https://huggingface.co/datasets/wikipedia)
- [Iker/Reddit-Post-Translation](https://huggingface.co/datasets/Iker/Reddit-Post-Translation)



  
Esta mezcla de datasets en Inglés y Español, permite al modelo adquirir diferentes capacidades, como RAG, function calling, code assistant, question answering, summarization... tanto en Inglés como en Español. 

# Entrenamiento

Este modelo se ha entrado usando 4xNvidia A100 80Gb y axolotl
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)

Esta es la configuración usada

```yaml
base_model: meta-llama/Meta-Llama-3-8B-Instruct
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
is_falcon_derived_model:
is_llama_derived_model:
is_qwen_derived_model:
is_mistral_derived_model:

load_in_8bit: false
load_in_4bit: false
strict: false

device_map: null

datasets:
  - path: /ikerlariak/igarcia945/InstructDatasets/Barcenas-Economia.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/casimedicos.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/coser_resumene.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/CrossSum_en.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/CrossSum_es.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/Document-Translation-en-es.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/es-inclusive-language.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/glaive-code-assistant-v3-small.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/glaive-function-calling-v2.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
        - tool
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/InstructTranslation-EN-ES.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/lenguaje-claro-dataset.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/LingComp_QA.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/NoticIA.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/NoticIA-large.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/NoticIA-summary.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/OpenHermes-2.5-English.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/OpenHermes-2.5-Spanish.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/opus-100-en-es.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/RAG_Multilingual-es.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/This-is-not-a-dataset.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/wikipedia-es.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/Reddit-Post-Translation.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human
  - path: /ikerlariak/igarcia945/InstructDatasets/watermark.jsonl
    type: sharegpt
    conversation: llama3
    field: conversations
    roles:
      input:
        - system
        - gpt
      output:
        - human

chat_template: llama3

dataset_prepared_path: /ikerlariak/igarcia945/Mortadelo-Filemon/Meta-Llama-3-8B-Instruct-Spanish-v2/dataset

shuffle_merged_datasets: true

val_set_size: 0.005

output_dir: /ikerlariak/igarcia945/Mortadelo-Filemon/Meta-Llama-3-8B-Instruct-Spanish-v2

adapter:
lora_model_dir:

sequence_len: 8192
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len: false

tokens:
  - "<tool_call>"
  - "<tool_response>"
  - "<tools>"
  - "</tool_call>"
  - "</tool_response>"
  - "</tools>"
  - "<reserved1>"
  - "<reserved2>"

special_tokens:
   pad_token: <|end_of_text|>

neftune_noise_alpha: 5

wandb_project: Mortadelo&Filemon
wandb_entity: igarciaf
wandb_watch:
wandb_name: Meta-Llama-3-8B-Instruct-Spanish-v2
wandb_log_model: 

gradient_accumulation_steps: 32
micro_batch_size: 2
eval_batch_size: 2
num_epochs: 2
optimizer: adamw_torch_fused
lr_scheduler: cosine
learning_rate: 0.00007


train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: false

gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_ratio: 0.03
evals_per_epoch: 4
eval_table_size:
save_strategy: "no"
debug:
deepspeed: /ikerlariak/igarcia945/Mortadelo-Filemon/train_configs/deepspeed_zero3.json
weight_decay: 0.0
fsdp:
fsdp_config:

seed: 33
```