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MiniCPM-V-2_6_lora_20240915_181155 – AI Model by muhtasham | AlphaNeural AI
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muhtasham
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MiniCPM-V-2_6_lora_20240915_181155
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peft
safetensors
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openbmb/MiniCPM-V-2_6
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MiniCPM-V-2_6_lora_20240915_181155
This model is a fine-tuned version of
openbmb/MiniCPM-V-2_6
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1966
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_ratio: 0.05
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1465
0.7055
100
0.1790
0.0339
1.4109
200
0.1891
0.033
2.1164
300
0.1994
0.0333
2.8219
400
0.1966
Framework versions
PEFT 0.12.0
Transformers 4.40.0
Pytorch 2.1.2+cu121
Tokenizers 0.19.1
