tcc-football-events-finetune-EleutherAI_gpt-neo-125M-10-5k – AI Model by muriloms | AlphaNeural AI

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muriloms/
tcc-football-events-finetune-EleutherAI_gpt-neo-125M-10-5k

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text-generation

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EleutherAI/gpt-neo-125m

autotrain_compatible

endpoints_compatible

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tcc-football-events-finetune-EleutherAI_gpt-neo-125M-10-5k

This model is a fine-tuned version of EleutherAI/gpt-neo-125M on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3381

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
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3284	1.0	2000	0.3174
0.294	2.0	4000	0.3010
0.293	3.0	6000	0.2915
0.2754	4.0	8000	0.2894
0.2614	5.0	10000	0.2895
0.2396	6.0	12000	0.2969
0.221	7.0	14000	0.3075
0.2031	8.0	16000	0.3198
0.1844	9.0	18000	0.3309
0.1643	10.0	20000	0.3381

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0