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Meddi – AI Model by HeroMask | AlphaNeural AI

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HeroMask/
Meddi

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text-generation

mistralai/Mistral-7B-Instruct-v0.1

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Built with Axolotl

tmp/helix/results/e9624262-34ea-4818-a31f-84692d26fc66

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on a Custom dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 6
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 20

Training results

Framework versions

Transformers 4.36.0.dev0
Datasets 2.15.0
Tokenizers 0.15.0

Training procedure

The following bitsandbytes quantization config was used during training:

quant_method: bitsandbytes
load_in_8bit: False
load_in_4bit: True
llm_int8_threshold: 6.0
llm_int8_skip_modules: None
llm_int8_enable_fp32_cpu_offload: False
llm_int8_has_fp16_weight: False
bnb_4bit_quant_type: nf4
bnb_4bit_use_double_quant: True
bnb_4bit_compute_dtype: bfloat16

Framework versions

PEFT 0.6.0