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MiniCPM-V-2_6_lora_20240916_155621 – AI Model by muhtasham | AlphaNeural AI
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muhtasham
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MiniCPM-V-2_6_lora_20240916_155621
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peft
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openbmb/MiniCPM-V-2_6
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MiniCPM-V-2_6_lora_20240916_155621
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: 0.2347
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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
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
0.1221
0.2430
100
0.2809
0.1534
0.4860
200
0.2695
0.1055
0.7290
300
0.2456
0.0828
0.9721
400
0.2336
0.1028
1.2151
500
0.2355
0.0444
1.4581
600
0.2294
0.054
1.7011
700
0.2347
Framework versions
PEFT 0.12.0
Transformers 4.40.0
Pytorch 2.1.2+cu121
Tokenizers 0.19.1
