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blip2-chartqa-finetuned-v2 – AI Model by vlaaa13 | AlphaNeural AI
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vlaaa13
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blip2-chartqa-finetuned-v2
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peft
safetensors
adapter
lora
transformers
text-generation
Salesforce/blip2-opt-2.7b
mit
us
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blip2-chartqa-finetuned-v2
This model is a fine-tuned version of
Salesforce/blip2-opt-2.7b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.8528
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
67.242
0.5333
100
7.5509
50.3977
1.064
200
6.4149
44.5607
1.5973
300
5.8528
Framework versions
PEFT 0.18.0
Transformers 4.57.1
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
