AmsterdamDocClassificationMistral200T2Epochs by FemkeBakker

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:femkebakker/amsterdamb...   Endpoints compatible   Generated from trainer   Instruct   Mistral   Nl   Region:us   Safetensors   Sft   Sharded   Tensorboard   Tensorflow   Trl

AmsterdamDocClassificationMistral200T2Epochs Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AmsterdamDocClassificationMistral200T2Epochs (FemkeBakker/AmsterdamDocClassificationMistral200T2Epochs)

AmsterdamDocClassificationMistral200T2Epochs Parameters and Internals

Model Type 
text classification
Supported Languages 
nl (proficient)
Training Details 
Data Sources:
FemkeBakker/AmsterdamBalancedFirst200Tokens
Data Volume:
11000 documents total
Context Length:
200
Training Time:
1 hour and 22 minutes
LLM NameAmsterdamDocClassificationMistral200T2Epochs
Repository ๐Ÿค—https://huggingface.co/FemkeBakker/AmsterdamDocClassificationMistral200T2Epochs 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM14.4 GB
Updated2025-01-20
MaintainerFemkeBakker
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Supported Languagesnl
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than FemkeBakker/AmsterdamDocClassificationMistral200T2Epochs.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227