449 lines
12 KiB
Markdown
449 lines
12 KiB
Markdown
---
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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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- HiTZ/This-is-not-a-dataset
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- wikipedia
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language:
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- es
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- en
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pipeline_tag: text-generation
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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---
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# Neurona 8B Beta: Un Modelo de Lenguage en Español
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> 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
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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.
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Neurona 8B ha sido entrenado con los siguiente datasets. No en todos los casos se ha usado el dataset completo
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- [pinzhenchen/alpaca-cleaned-es](https://huggingface.co/datasets/pinzhenchen/alpaca-cleaned-es)
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- [Danielbrdz/Barcenas-Economia](https://huggingface.co/datasets/Danielbrdz/Barcenas-Economia)
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- [HiTZ/casimedicos-exp](https://huggingface.co/datasets/HiTZ/casimedicos-exp)
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- [somosnlp/coser_resumenes](https://huggingface.co/datasets/somosnlp/coser_resumenes)
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- [csebuetnlp/CrossSum en + es](https://huggingface.co/datasets/csebuetnlp/CrossSum)
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- [Iker/Document-Translation-en-es](https://huggingface.co/datasets/Iker/Document-Translation-en-es)
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- [somosnlp/es-inclusive-language-it](https://huggingface.co/datasets/somosnlp/es-inclusive-language-it)
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- [FreedomIntelligence/evol-instruct-spanish](https://huggingface.co/datasets/FreedomIntelligence/evol-instruct-spanish)
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- [glaiveai/glaive-code-assistant-v3](https://huggingface.co/datasets/glaiveai/glaive-code-assistant-v3)
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- [glaiveai/glaive-function-calling-v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2)
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- [Iker/InstructTranslation-EN-ES](https://huggingface.co/datasets/Iker/InstructTranslation-EN-ES)
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- [somosnlp/lenguaje-claro-dataset](https://huggingface.co/datasets/somosnlp/lenguaje-claro-dataset)
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- [somosnlp/LingComp_QA](https://huggingface.co/datasets/somosnlp/LingComp_QA)
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- [bltlab/lr-sum](https://huggingface.co/datasets/bltlab/lr-sum)
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- [Iker/NoticIA](https://huggingface.co/datasets/Iker/NoticIA)
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- [xaviviro/oasst2_es_gpt](https://huggingface.co/datasets/xaviviro/oasst2_es_gpt)
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- [teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5)
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- [Iker/OpenHermes-2.5-Spanish](https://huggingface.co/datasets/Iker/OpenHermes-2.5-Spanish)
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- [Helsinki-NLP/opus-100 en es](https://huggingface.co/datasets/Helsinki-NLP/opus-100)
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- [projecte-aina/RAG_Multilingual](https://huggingface.co/datasets/projecte-aina/RAG_Multilingual)
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- [sem_eval_2018_task_1](https://huggingface.co/datasets/sem_eval_2018_task_1)
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- [davidstap/ted_talks](https://huggingface.co/datasets/davidstap/ted_talks)
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- [HiTZ/This-is-not-a-dataset](https://huggingface.co/datasets/HiTZ/This-is-not-a-dataset)
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- [wikipedia es](https://huggingface.co/datasets/wikipedia)
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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.
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# Entrenamiento
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Este modelo se ha entrado usando 4xNvidia A100 80Gb y axolotl
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[<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)
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Esta es la configuración usada
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```yaml
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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is_falcon_derived_model:
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is_llama_derived_model:
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is_qwen_derived_model:
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is_mistral_derived_model:
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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device_map: null
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datasets:
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- path: /ikerlariak/igarcia945/InstructDatasets/alpaca-cleaned-es.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/Barcenas-Economia.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/casimedicos.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/coser_resumene.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/CrossSum_en.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/CrossSum_es.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/Document-Translation-en-es.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/es-inclusive-language.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/evol-instruct-spanish.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/glaive-code-assistant-v3-small.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/glaive-function-calling-v2.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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- tool
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/InstructTranslation-EN-ES.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/lenguaje-claro-dataset.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/LingComp_QA.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/lr-sum-es.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/NoticIA.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/NoticIA-large.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/NoticIA-summary.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/oasst2_es_gpt.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/OpenHermes-2.5-English.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/OpenHermes-2.5-Spanish.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/opus-100-en-es.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/RAG_Multilingual-es.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/sem_eval_2018_task_1.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/ted_talks-es_en.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/This-is-not-a-dataset.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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- path: /ikerlariak/igarcia945/InstructDatasets/wikipedia-es.jsonl
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type: sharegpt
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conversation: llama3
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field: conversations
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roles:
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input:
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- system
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- gpt
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output:
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- human
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chat_template: llama3
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dataset_prepared_path: /ikerlariak/igarcia945/Mortadelo-Filemon/Meta-Llama-3-8B-Instruct-Spanish/dataset
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shuffle_merged_datasets: true
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val_set_size: 0.005
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output_dir: /ikerlariak/igarcia945/Mortadelo-Filemon/Meta-Llama-3-8B-Instruct-Spanish
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adapter:
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lora_model_dir:
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sequence_len: 8192
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sample_packing: true
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eval_sample_packing: false
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pad_to_sequence_len: false
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tokens:
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- "<tool_call>"
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- "<tool_response>"
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- "<tools>"
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- "</tool_call>"
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- "</tool_response>"
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- "</tools>"
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- "<reserved1>"
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- "<reserved2>"
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special_tokens:
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pad_token: <|end_of_text|>
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neftune_noise_alpha: 5
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wandb_project: Mortadelo&Filemon
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wandb_entity: igarciaf
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wandb_watch:
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wandb_name: Meta-Llama-3-8B-Instruct-Spanish
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wandb_log_model:
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gradient_accumulation_steps: 32
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micro_batch_size: 2
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eval_batch_size: 2
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num_epochs: 2
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optimizer: adamw_torch_fused
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lr_scheduler: cosine
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learning_rate: 0.00007
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train_on_inputs: false
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group_by_length: false
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bf16: true
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fp16: false
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tf32: false
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gradient_checkpointing: true
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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warmup_ratio: 0.03
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evals_per_epoch: 4
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eval_table_size:
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save_strategy: "no"
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debug:
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deepspeed: /ikerlariak/igarcia945/Mortadelo-Filemon/train_configs/deepspeed_zero3.json
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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seed: 33
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``` |