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README.md
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library_name: transformers
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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---
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library_name: transformers
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tags:
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- synthetic
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license: llama3
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datasets:
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- pinzhenchen/alpaca-cleaned-es
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- Danielbrdz/Barcenas-Economia
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- HiTZ/casimedicos-exp
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- somosnlp/coser_resumenes
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- csebuetnlp/CrossSum
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- Iker/Document-Translation-en-es
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- somosnlp/es-inclusive-language-it
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- FreedomIntelligence/evol-instruct-spanish
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- glaiveai/glaive-code-assistant-v3
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- glaiveai/glaive-function-calling-v2
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- Iker/InstructTranslation-EN-ES
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- somosnlp/lenguaje-claro-dataset
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- somosnlp/LingComp_QA
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- bltlab/lr-sum
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- Iker/NoticIA
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- xaviviro/oasst2_es_gpt
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- teknium/OpenHermes-2.5
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- Iker/OpenHermes-2.5-Spanish
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- Helsinki-NLP/opus-100
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- projecte-aina/RAG_Multilingual
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- sem_eval_2018_task_1
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- davidstap/ted_talks
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| 29 |
+
- HiTZ/This-is-not-a-dataset
|
| 30 |
+
- wikipedia
|
| 31 |
+
language:
|
| 32 |
+
- es
|
| 33 |
+
- en
|
| 34 |
+
pipeline_tag: text-generation
|
| 35 |
+
base_model: meta-llama/Meta-Llama-3-8B
|
| 36 |
---
|
| 37 |
|
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|
|
| 38 |
|
| 39 |
+

|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
# Neurona 8B Beta: Un Modelo de Lenguage en Español
|
| 43 |
+
|
| 44 |
+
> 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 [email protected]
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
Neurona 8B es un modelo de lenguaje en Español. Esta es la primera iteración y un experimento para poner a punto los scripts y la infraestructura.
|
| 48 |
+
|
| 49 |
+
Neurona 8B ha sido entrenado con los siguiente datasets. No en todos los casos se ha usado el dataset completo
|
| 50 |
+
|
| 51 |
+
- [pinzhenchen/alpaca-cleaned-es](https://huggingface.co/datasets/pinzhenchen/alpaca-cleaned-es)
|
| 52 |
+
- [Danielbrdz/Barcenas-Economia](https://huggingface.co/datasets/Danielbrdz/Barcenas-Economia)
|
| 53 |
+
- [HiTZ/casimedicos-exp](https://huggingface.co/datasets/HiTZ/casimedicos-exp)
|
| 54 |
+
- [somosnlp/coser_resumenes](https://huggingface.co/datasets/somosnlp/coser_resumenes)
|
| 55 |
+
- [csebuetnlp/CrossSum en + es](https://huggingface.co/datasets/csebuetnlp/CrossSum)
|
| 56 |
+
- [Iker/Document-Translation-en-es](https://huggingface.co/datasets/Iker/Document-Translation-en-es)
|
| 57 |
+
- [somosnlp/es-inclusive-language-it](https://huggingface.co/datasets/somosnlp/es-inclusive-language-it)
|
| 58 |
+
- [FreedomIntelligence/evol-instruct-spanish](https://huggingface.co/datasets/FreedomIntelligence/evol-instruct-spanish)
|
| 59 |
+
- [glaiveai/glaive-code-assistant-v3](https://huggingface.co/datasets/glaiveai/glaive-code-assistant-v3)
|
| 60 |
+
- [glaiveai/glaive-function-calling-v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2)
|
| 61 |
+
- [Iker/InstructTranslation-EN-ES](https://huggingface.co/datasets/Iker/InstructTranslation-EN-ES)
|
| 62 |
+
- [somosnlp/lenguaje-claro-dataset](https://huggingface.co/datasets/somosnlp/lenguaje-claro-dataset)
|
| 63 |
+
- [somosnlp/LingComp_QA](https://huggingface.co/datasets/somosnlp/LingComp_QA)
|
| 64 |
+
- [bltlab/lr-sum](https://huggingface.co/datasets/bltlab/lr-sum)
|
| 65 |
+
- [Iker/NoticIA](https://huggingface.co/datasets/Iker/NoticIA)
|
| 66 |
+
- [xaviviro/oasst2_es_gpt](https://huggingface.co/datasets/xaviviro/oasst2_es_gpt)
|
| 67 |
+
- [teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5)
|
| 68 |
+
- [Iker/OpenHermes-2.5-Spanish](https://huggingface.co/datasets/Iker/OpenHermes-2.5-Spanish)
|
| 69 |
+
- [Helsinki-NLP/opus-100 en es](https://huggingface.co/datasets/Helsinki-NLP/opus-100)
|
| 70 |
+
- [projecte-aina/RAG_Multilingual](https://huggingface.co/datasets/projecte-aina/RAG_Multilingual)
|
| 71 |
+
- [sem_eval_2018_task_1](https://huggingface.co/datasets/sem_eval_2018_task_1)
|
| 72 |
+
- [davidstap/ted_talks](https://huggingface.co/datasets/davidstap/ted_talks)
|
| 73 |
+
- [HiTZ/This-is-not-a-dataset](https://huggingface.co/datasets/HiTZ/This-is-not-a-dataset)
|
| 74 |
+
- [wikipedia es](https://huggingface.co/datasets/wikipedia)
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
|
| 79 |
+
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.
|
| 80 |
+
|
| 81 |
+
# Entrenamiento
|
| 82 |
+
|
| 83 |
+
Este modelo se ha entrado usando 4xNvidia A100 80Gb y axolotl
|
| 84 |
+
[<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)
|
| 85 |
+
|
| 86 |
+
Esta es la configuración usada
|
| 87 |
+
|
| 88 |
+
```yaml
|
| 89 |
+
base_model: /ikerlariak/igarcia945/Mortadelo-Filemon/Meta-Llama-3-8B-Spanish/base_model
|
| 90 |
+
model_type: AutoModelForCausalLM
|
| 91 |
+
tokenizer_type: AutoTokenizer
|
| 92 |
+
is_falcon_derived_model:
|
| 93 |
+
is_llama_derived_model:
|
| 94 |
+
is_qwen_derived_model:
|
| 95 |
+
is_mistral_derived_model:
|
| 96 |
+
|
| 97 |
+
load_in_8bit: false
|
| 98 |
+
load_in_4bit: false
|
| 99 |
+
strict: false
|
| 100 |
+
|
| 101 |
+
device_map: null
|
| 102 |
+
|
| 103 |
+
datasets:
|
| 104 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/alpaca-cleaned-es.jsonl
|
| 105 |
+
type: sharegpt
|
| 106 |
+
conversation: llama3
|
| 107 |
+
field: conversations
|
| 108 |
+
roles:
|
| 109 |
+
input:
|
| 110 |
+
- system
|
| 111 |
+
- gpt
|
| 112 |
+
output:
|
| 113 |
+
- human
|
| 114 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/Barcenas-Economia.jsonl
|
| 115 |
+
type: sharegpt
|
| 116 |
+
conversation: llama3
|
| 117 |
+
field: conversations
|
| 118 |
+
roles:
|
| 119 |
+
input:
|
| 120 |
+
- system
|
| 121 |
+
- gpt
|
| 122 |
+
output:
|
| 123 |
+
- human
|
| 124 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/casimedicos.jsonl
|
| 125 |
+
type: sharegpt
|
| 126 |
+
conversation: llama3
|
| 127 |
+
field: conversations
|
| 128 |
+
roles:
|
| 129 |
+
input:
|
| 130 |
+
- system
|
| 131 |
+
- gpt
|
| 132 |
+
output:
|
| 133 |
+
- human
|
| 134 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/coser_resumene.jsonl
|
| 135 |
+
type: sharegpt
|
| 136 |
+
conversation: llama3
|
| 137 |
+
field: conversations
|
| 138 |
+
roles:
|
| 139 |
+
input:
|
| 140 |
+
- system
|
| 141 |
+
- gpt
|
| 142 |
+
output:
|
| 143 |
+
- human
|
| 144 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/CrossSum_en.jsonl
|
| 145 |
+
type: sharegpt
|
| 146 |
+
conversation: llama3
|
| 147 |
+
field: conversations
|
| 148 |
+
roles:
|
| 149 |
+
input:
|
| 150 |
+
- system
|
| 151 |
+
- gpt
|
| 152 |
+
output:
|
| 153 |
+
- human
|
| 154 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/CrossSum_es.jsonl
|
| 155 |
+
type: sharegpt
|
| 156 |
+
conversation: llama3
|
| 157 |
+
field: conversations
|
| 158 |
+
roles:
|
| 159 |
+
input:
|
| 160 |
+
- system
|
| 161 |
+
- gpt
|
| 162 |
+
output:
|
| 163 |
+
- human
|
| 164 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/Document-Translation-en-es.jsonl
|
| 165 |
+
type: sharegpt
|
| 166 |
+
conversation: llama3
|
| 167 |
+
field: conversations
|
| 168 |
+
roles:
|
| 169 |
+
input:
|
| 170 |
+
- system
|
| 171 |
+
- gpt
|
| 172 |
+
output:
|
| 173 |
+
- human
|
| 174 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/es-inclusive-language.jsonl
|
| 175 |
+
type: sharegpt
|
| 176 |
+
conversation: llama3
|
| 177 |
+
field: conversations
|
| 178 |
+
roles:
|
| 179 |
+
input:
|
| 180 |
+
- system
|
| 181 |
+
- gpt
|
| 182 |
+
output:
|
| 183 |
+
- human
|
| 184 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/evol-instruct-spanish.jsonl
|
| 185 |
+
type: sharegpt
|
| 186 |
+
conversation: llama3
|
| 187 |
+
field: conversations
|
| 188 |
+
roles:
|
| 189 |
+
input:
|
| 190 |
+
- system
|
| 191 |
+
- gpt
|
| 192 |
+
output:
|
| 193 |
+
- human
|
| 194 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/glaive-code-assistant-v3-small.jsonl
|
| 195 |
+
type: sharegpt
|
| 196 |
+
conversation: llama3
|
| 197 |
+
field: conversations
|
| 198 |
+
roles:
|
| 199 |
+
input:
|
| 200 |
+
- system
|
| 201 |
+
- gpt
|
| 202 |
+
output:
|
| 203 |
+
- human
|
| 204 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/glaive-function-calling-v2.jsonl
|
| 205 |
+
type: sharegpt
|
| 206 |
+
conversation: llama3
|
| 207 |
+
field: conversations
|
| 208 |
+
roles:
|
| 209 |
+
input:
|
| 210 |
+
- system
|
| 211 |
+
- gpt
|
| 212 |
+
- tool
|
| 213 |
+
output:
|
| 214 |
+
- human
|
| 215 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/InstructTranslation-EN-ES.jsonl
|
| 216 |
+
type: sharegpt
|
| 217 |
+
conversation: llama3
|
| 218 |
+
field: conversations
|
| 219 |
+
roles:
|
| 220 |
+
input:
|
| 221 |
+
- system
|
| 222 |
+
- gpt
|
| 223 |
+
output:
|
| 224 |
+
- human
|
| 225 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/lenguaje-claro-dataset.jsonl
|
| 226 |
+
type: sharegpt
|
| 227 |
+
conversation: llama3
|
| 228 |
+
field: conversations
|
| 229 |
+
roles:
|
| 230 |
+
input:
|
| 231 |
+
- system
|
| 232 |
+
- gpt
|
| 233 |
+
output:
|
| 234 |
+
- human
|
| 235 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/LingComp_QA.jsonl
|
| 236 |
+
type: sharegpt
|
| 237 |
+
conversation: llama3
|
| 238 |
+
field: conversations
|
| 239 |
+
roles:
|
| 240 |
+
input:
|
| 241 |
+
- system
|
| 242 |
+
- gpt
|
| 243 |
+
output:
|
| 244 |
+
- human
|
| 245 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/lr-sum-es.jsonl
|
| 246 |
+
type: sharegpt
|
| 247 |
+
conversation: llama3
|
| 248 |
+
field: conversations
|
| 249 |
+
roles:
|
| 250 |
+
input:
|
| 251 |
+
- system
|
| 252 |
+
- gpt
|
| 253 |
+
output:
|
| 254 |
+
- human
|
| 255 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/NoticIA.jsonl
|
| 256 |
+
type: sharegpt
|
| 257 |
+
conversation: llama3
|
| 258 |
+
field: conversations
|
| 259 |
+
roles:
|
| 260 |
+
input:
|
| 261 |
+
- system
|
| 262 |
+
- gpt
|
| 263 |
+
output:
|
| 264 |
+
- human
|
| 265 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/NoticIA-large.jsonl
|
| 266 |
+
type: sharegpt
|
| 267 |
+
conversation: llama3
|
| 268 |
+
field: conversations
|
| 269 |
+
roles:
|
| 270 |
+
input:
|
| 271 |
+
- system
|
| 272 |
+
- gpt
|
| 273 |
+
output:
|
| 274 |
+
- human
|
| 275 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/NoticIA-summary.jsonl
|
| 276 |
+
type: sharegpt
|
| 277 |
+
conversation: llama3
|
| 278 |
+
field: conversations
|
| 279 |
+
roles:
|
| 280 |
+
input:
|
| 281 |
+
- system
|
| 282 |
+
- gpt
|
| 283 |
+
output:
|
| 284 |
+
- human
|
| 285 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/oasst2_es_gpt.jsonl
|
| 286 |
+
type: sharegpt
|
| 287 |
+
conversation: llama3
|
| 288 |
+
field: conversations
|
| 289 |
+
roles:
|
| 290 |
+
input:
|
| 291 |
+
- system
|
| 292 |
+
- gpt
|
| 293 |
+
output:
|
| 294 |
+
- human
|
| 295 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/OpenHermes-2.5-English.jsonl
|
| 296 |
+
type: sharegpt
|
| 297 |
+
conversation: llama3
|
| 298 |
+
field: conversations
|
| 299 |
+
roles:
|
| 300 |
+
input:
|
| 301 |
+
- system
|
| 302 |
+
- gpt
|
| 303 |
+
output:
|
| 304 |
+
- human
|
| 305 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/OpenHermes-2.5-Spanish.jsonl
|
| 306 |
+
type: sharegpt
|
| 307 |
+
conversation: llama3
|
| 308 |
+
field: conversations
|
| 309 |
+
roles:
|
| 310 |
+
input:
|
| 311 |
+
- system
|
| 312 |
+
- gpt
|
| 313 |
+
output:
|
| 314 |
+
- human
|
| 315 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/opus-100-en-es.jsonl
|
| 316 |
+
type: sharegpt
|
| 317 |
+
conversation: llama3
|
| 318 |
+
field: conversations
|
| 319 |
+
roles:
|
| 320 |
+
input:
|
| 321 |
+
- system
|
| 322 |
+
- gpt
|
| 323 |
+
output:
|
| 324 |
+
- human
|
| 325 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/RAG_Multilingual-es.jsonl
|
| 326 |
+
type: sharegpt
|
| 327 |
+
conversation: llama3
|
| 328 |
+
field: conversations
|
| 329 |
+
roles:
|
| 330 |
+
input:
|
| 331 |
+
- system
|
| 332 |
+
- gpt
|
| 333 |
+
output:
|
| 334 |
+
- human
|
| 335 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/sem_eval_2018_task_1.jsonl
|
| 336 |
+
type: sharegpt
|
| 337 |
+
conversation: llama3
|
| 338 |
+
field: conversations
|
| 339 |
+
roles:
|
| 340 |
+
input:
|
| 341 |
+
- system
|
| 342 |
+
- gpt
|
| 343 |
+
output:
|
| 344 |
+
- human
|
| 345 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/ted_talks-es_en.jsonl
|
| 346 |
+
type: sharegpt
|
| 347 |
+
conversation: llama3
|
| 348 |
+
field: conversations
|
| 349 |
+
roles:
|
| 350 |
+
input:
|
| 351 |
+
- system
|
| 352 |
+
- gpt
|
| 353 |
+
output:
|
| 354 |
+
- human
|
| 355 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/This-is-not-a-dataset.jsonl
|
| 356 |
+
type: sharegpt
|
| 357 |
+
conversation: llama3
|
| 358 |
+
field: conversations
|
| 359 |
+
roles:
|
| 360 |
+
input:
|
| 361 |
+
- system
|
| 362 |
+
- gpt
|
| 363 |
+
output:
|
| 364 |
+
- human
|
| 365 |
+
- path: /ikerlariak/igarcia945/InstructDatasets/wikipedia-es.jsonl
|
| 366 |
+
type: sharegpt
|
| 367 |
+
conversation: llama3
|
| 368 |
+
field: conversations
|
| 369 |
+
roles:
|
| 370 |
+
input:
|
| 371 |
+
- system
|
| 372 |
+
- gpt
|
| 373 |
+
output:
|
| 374 |
+
- human
|
| 375 |
+
|
| 376 |
+
chat_template: llama3
|
| 377 |
+
|
| 378 |
+
dataset_prepared_path: /ikerlariak/igarcia945/Mortadelo-Filemon/Meta-Llama-3-8B-Spanish/dataset
|
| 379 |
+
|
| 380 |
+
shuffle_merged_datasets: true
|
| 381 |
+
|
| 382 |
+
val_set_size: 0.005
|
| 383 |
+
|
| 384 |
+
output_dir: /ikerlariak/igarcia945/Mortadelo-Filemon/Meta-Llama-3-8B-Spanish
|
| 385 |
+
|
| 386 |
+
adapter:
|
| 387 |
+
lora_model_dir:
|
| 388 |
+
|
| 389 |
+
sequence_len: 8192
|
| 390 |
+
sample_packing: true
|
| 391 |
+
eval_sample_packing: false
|
| 392 |
+
pad_to_sequence_len: false
|
| 393 |
+
|
| 394 |
+
tokens:
|
| 395 |
+
- "<tool_call>"
|
| 396 |
+
- "<tool_response>"
|
| 397 |
+
- "<tools>"
|
| 398 |
+
- "</tool_call>"
|
| 399 |
+
- "</tool_response>"
|
| 400 |
+
- "</tools>"
|
| 401 |
+
- "<reserved1>"
|
| 402 |
+
- "<reserved2>"
|
| 403 |
+
|
| 404 |
+
|
| 405 |
+
neftune_noise_alpha: 5
|
| 406 |
+
|
| 407 |
+
wandb_project: Mortadelo&Filemon
|
| 408 |
+
wandb_entity: igarciaf
|
| 409 |
+
wandb_watch:
|
| 410 |
+
wandb_name: meta-llama-3-8B-spanish
|
| 411 |
+
wandb_log_model:
|
| 412 |
+
|
| 413 |
+
gradient_accumulation_steps: 32
|
| 414 |
+
micro_batch_size: 2
|
| 415 |
+
eval_batch_size: 2
|
| 416 |
+
num_epochs: 2
|
| 417 |
+
optimizer: adamw_torch_fused
|
| 418 |
+
lr_scheduler: cosine
|
| 419 |
+
learning_rate: 0.00007
|
| 420 |
+
|
| 421 |
+
|
| 422 |
+
train_on_inputs: false
|
| 423 |
+
group_by_length: false
|
| 424 |
+
bf16: true
|
| 425 |
+
fp16: false
|
| 426 |
+
tf32: false
|
| 427 |
+
|
| 428 |
+
gradient_checkpointing: true
|
| 429 |
+
early_stopping_patience:
|
| 430 |
+
resume_from_checkpoint:
|
| 431 |
+
local_rank:
|
| 432 |
+
logging_steps: 1
|
| 433 |
+
xformers_attention:
|
| 434 |
+
flash_attention: true
|
| 435 |
+
|
| 436 |
+
warmup_ratio: 0.03
|
| 437 |
+
evals_per_epoch: 4
|
| 438 |
+
eval_table_size:
|
| 439 |
+
save_strategy: "no"
|
| 440 |
+
debug:
|
| 441 |
+
deepspeed: /ikerlariak/igarcia945/Mortadelo-Filemon/train_configs/deepspeed_zero3.json
|
| 442 |
+
weight_decay: 0.0
|
| 443 |
+
fsdp:
|
| 444 |
+
fsdp_config:
|
| 445 |
+
|
| 446 |
+
seed: 33
|
| 447 |
+
```
|