roberta_nba_v1 – AI Model by sivakarri | AlphaNeural AI

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sivakarri/
roberta_nba_v1

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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roberta_nba_v1

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0001

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.1925	1.0	36	0.1997
0.1161	2.0	72	0.1567
0.0247	3.0	108	0.0029
0.001	4.0	144	0.0006
0.0005	5.0	180	0.0004
0.0002	6.0	216	0.0002
0.0003	7.0	252	0.0002
0.0002	8.0	288	0.0001
0.0001	9.0	324	0.0001
0.0001	10.0	360	0.0001

Framework versions

Transformers 4.40.2
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1