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Model: ReBatch/Reynaerde-7B-Instruct Source: Original Platform
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README.md
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---
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license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.3
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- ReBatch/ultrachat_400k_nl
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- BramVanroy/stackoverflow-chat-dutch
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- vandeju/no_robots_dutch
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model-index:
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- name: Reynaerde-7B-Instruct
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Reynaerde-7B-v3
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3-Instruct](https://huggingface.co/mistralai/Mistral-7B-v0.3-Instruct) on the [ReBatch/ultrachat_400k_nl](https://huggingface.co/datasets/ReBatch/ultrachat_400k_nl), the [BramVanroy/stackoverflow-chat-dutch](https://huggingface.co/datasets/BramVanroy/stackoverflow-chat-dutch) and the [BramVanroy/no_robots_dutch](https://huggingface.co/datasets/BramVanroy/no_robots_dutch) datasets.
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## Model description
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This model is a Dutch chat model, originally developed from Mistral 7B v0.3 Instruct and further finetuned first with SFT on multiple datasets.
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## Intended uses & limitations
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The model could generate wrong, misleading, and potentially even offensive content. Use at your own risk.
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Use with mistrals chat template.
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## Training and evaluation data
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It achieves the following results on the evaluation set:
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- Loss: 0.8596
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## Training procedure
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This model was trained with QLoRa in bfloat16 with Flash Attention 2 on one A100 PCIe, using the sft script from the [alignment handbook](https://github.com/huggingface/alignment-handbook/) on [RunPod](https://www.runpod.io/).
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 3
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- eval_batch_size: 6
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 6
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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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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.2.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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### Model Developer
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The Mistral-7B-v0.3-Instruct model, on which this model is based, was created by [Mistral AI](https://huggingface.co/mistralai).
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The finetuning was done by [Julien Van den Avenne](https://huggingface.co/vandeju).
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config.json
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"model_type": "mistral",
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||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
}
|
||||
98793
tokenizer.json
Normal file
98793
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
||||
size 587404
|
||||
6187
tokenizer_config.json
Normal file
6187
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
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