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startup-score – AI Model by k011 | AlphaNeural AI
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k011
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startup-score
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transformers
tensorboard
safetensors
albert
text-classification
generated_from_trainer
en
albert/albert-base-v2
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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startup-score
This model is a fine-tuned version of
albert/albert-base-v2
on
Startup Score Dataset
. It achieves the following results on the evaluation set:
Loss: 0.7827
Accuracy: 0.25
F1: 0.3000
Precision: 0.375
Recall: 0.25
Accuracy Label Eligible: 0.0
Accuracy Label Not eligible: 0.3333
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
