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GEITje-7B-chat-v2

Text Generation
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Dutch
mistral
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GEITje
conversational
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  1. .gitattributes +35 -0
  2. README.md +104 -0
  3. checkpoint-12185/config.json +27 -0
  4. checkpoint-12185/generation_config.json +6 -0
  5. checkpoint-12185/model.safetensors.index.json +298 -0
  6. checkpoint-12185/rng_state.pth +3 -0
  7. checkpoint-12185/scheduler.pt +3 -0
  8. checkpoint-12185/special_tokens_map.json +24 -0
  9. checkpoint-12185/tokenizer.json +0 -0
  10. checkpoint-12185/tokenizer.model +3 -0
  11. checkpoint-12185/tokenizer_config.json +43 -0
  12. checkpoint-12185/trainer_state.json +0 -0
  13. checkpoint-12185/training_args.bin +3 -0
  14. config.json +27 -0
  15. generation_config.json +6 -0
  16. model.safetensors.index.json +298 -0
  17. runs/Dec16_09-42-41_3b0aba06ec97/events.out.tfevents.1702719763.3b0aba06ec97.28310.0 +3 -0
  18. runs/Dec16_10-50-00_3b0aba06ec97/events.out.tfevents.1702723837.3b0aba06ec97.28885.0 +3 -0
  19. runs/Dec16_13-30-21_3b0aba06ec97/events.out.tfevents.1702733423.3b0aba06ec97.29559.0 +3 -0
  20. runs/Dec16_18-36-45_3b0aba06ec97/events.out.tfevents.1702751861.3b0aba06ec97.32327.0 +3 -0
  21. special_tokens_map.json +24 -0
  22. tokenizer.json +0 -0
  23. tokenizer.model +3 -0
  24. tokenizer_config.json +43 -0
  25. training_args.bin +3 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: Rijgersberg/GEITje-7B
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+ tags:
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+ - generated_from_trainer
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+ - GEITje
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+ - conversational
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+ model-index:
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+ - name: GEITje-7B-chat-v2
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+ results: []
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+ datasets:
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+ - Rijgersberg/no_robots_nl
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+ - Rijgersberg/ultrachat_10k_nl
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+ - BramVanroy/dutch_chat_datasets
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+ language:
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+ - nl
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+ pipeline_tag: text-generation
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+ ---
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+ # GEITje-7B-chat-v2
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+
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+ **🤖️ Try the chat model in [🤗 Hugging Face Spaces](https://huggingface.co/spaces/Rijgersberg/GEITje-7B-chat)!**
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+
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+ # GEITje-7B
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+
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+ GEITje is a large open Dutch language model with 7 billion parameters, based on Mistral 7B.
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+ It has been further trained on 10 billion tokens of Dutch text.
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+ This has improved its Dutch language skills and increased its knowledge of Dutch topics.
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+
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+
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+ ## Model description
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+
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+ ### _Mistral_ – Base Model
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+ GEITje is based on [Mistral 7B](https://mistral.ai/news/announcing-mistral-7b/).
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+ It's a large open language model with 7 billion parameters,
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+ trained by [Mistral AI](https://mistral.ai).
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+ According to Mistral AI, the 7B model performs better than [Llama 2](https://ai.meta.com/llama/) 13B on all (English-language) benchmarks they tested it on.
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+ Mistral 7B has been released under the Apache 2.0 open source license.
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+
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+
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+ ### _GEITje_ – Trained Further on Dutch Texts
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+ GEITje was created by further training Mistral 7B on no less than 10 billion tokens of Dutch text from the [Dutch Gigacorpus](http://gigacorpus.nl) and the [MADLAD-400](https://huggingface.co/datasets/allenai/MADLAD-400) web crawling corpus.
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+ It is a so-called _full-parameter finetune_:
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+ performed on all parameters.
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+ It is not a [PEFT](https://huggingface.co/blog/peft) or [LoRA](https://huggingface.co/docs/peft/conceptual_guides/lora) finetune.
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+ Like Mistral, GEITje has a _context length_ of 8,192 tokens.
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+
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+ ### _GEITje-chat_ – Finetuned for Dialogues
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+ As a demonstration of GEITje's capabilities for chat applications, two initial chat variants of GEITje have also been finetuned: GEITje-chat and GEITje-chat-v2.
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+ They can follow instructions, answer questions, and hold dialogues on a variety of topics.
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+
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+ ## More info
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+ Read more about GEITje-chat in the [📄 README](https://github.com/Rijgersberg/GEITje/blob/main/README-en.md) on GitHub.
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+
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+ ## Checkpoints
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+ An intermediate checkpoint is available in the `checkpoints` branch.
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.7832 | 0.05 | 609 | 0.8844 |
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+ | 0.6904 | 0.1 | 1218 | 0.8698 |
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+ | 0.8195 | 0.15 | 1827 | 0.8583 |
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+ | 0.7463 | 0.2 | 2436 | 0.8475 |
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+ | 0.6739 | 0.25 | 3045 | 0.8395 |
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+ | 0.7604 | 0.3 | 3654 | 0.8332 |
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+ | 0.8024 | 0.35 | 4263 | 0.8261 |
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+ | 0.6881 | 0.4 | 4872 | 0.8203 |
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+ | 0.6466 | 0.45 | 5481 | 0.8167 |
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+ | 0.7042 | 0.5 | 6090 | 0.8121 |
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+ | 0.702 | 0.55 | 6699 | 0.8081 |
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+ | 0.7255 | 0.6 | 7308 | 0.8054 |
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+ | 0.7558 | 0.65 | 7917 | 0.8036 |
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+ | 0.7587 | 0.7 | 8526 | 0.8022 |
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+ | 0.9217 | 0.75 | 9135 | 0.8016 |
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+ | 0.6938 | 0.8 | 9744 | 0.8011 |
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+ | 0.6962 | 0.85 | 10353 | 0.8011 |
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+ | 0.664 | 0.9 | 10962 | 0.8011 |
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+ | 0.6544 | 0.95 | 11571 | 0.8011 |
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+ | 0.6782 | 1.0 | 12180 | 0.8011 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ "transformers_version": "4.36.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ }
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