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mymodel – AI Model by rajparmar | AlphaNeural AI

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rajparmar/
mymodel

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ybelkada/Mistral-7B-v0.1-bf16-sharded

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my_tuned_json_data_model

This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the None dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

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: fp4
bnb_4bit_use_double_quant: False
bnb_4bit_compute_dtype: float32

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.4.0
Transformers 4.35.0
Pytorch 2.0.0+cu117
Datasets 2.13.0
Tokenizers 0.14.1