Negative Likelihood Zephyr 7B Sft Full by TTTXXX01

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  Alignment-handbook   Autotrain compatible Base model:alignment-handbook/... Base model:finetune:alignment-...   Conversational Dataset:huggingfaceh4/ultrafee...   Dpo   Endpoints compatible   Generated from trainer   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl

Negative Likelihood Zephyr 7B Sft Full Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Negative Likelihood Zephyr 7B Sft Full (TTTXXX01/Negative_likelihood-zephyr-7b-sft-full)

Negative Likelihood Zephyr 7B Sft Full Parameters and Internals

Additional Notes 
### Training procedure #### Training hyperparameters - learning_rate: 3e-07 - train_batch_size: 6 - eval_batch_size: 4 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 2 - total_train_batch_size: 48 - total_eval_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 1 #### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1 ### Model description More information needed ### Intended uses & limitations More information needed ### Training and evaluation data More information needed
Training Details 
Data Sources:
HuggingFaceH4/ultrafeedback_binarized
LLM NameNegative Likelihood Zephyr 7B Sft Full
Repository ๐Ÿค—https://huggingface.co/TTTXXX01/Negative_likelihood-zephyr-7b-sft-full 
Base Model(s)  Zephyr 7B Sft Full   alignment-handbook/zephyr-7b-sft-full
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerTTTXXX01
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TTTXXX01/Negative_likelihood-zephyr-7b-sft-full.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227