Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
basketball2_checkpoints – AI Model by artem2284708 | AlphaNeural AI
You can deploy this model and start earning money today!
artem2284708
/
basketball2_checkpoints
like
0
transformers
safetensors
distilbert
text-classification
generated_from_trainer
artem2284708/checkpoints
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
basketball2_checkpoints
This model is a fine-tuned version of
artem2284708/checkpoints
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3212
Accuracy: 0.8
F1: 0.7903
Precision: 0.7996
Recall: 0.8
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.5197
1.0
9
0.5710
0.75
0.7368
0.7389
0.75
0.2456
2.0
18
0.4089
0.8333
0.8320
0.85
0.8333
0.2057
3.0
27
0.3528
0.8333
0.8320
0.85
0.8333
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
