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pretrained_model – AI Model by suku9 | AlphaNeural AI
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pretrained_model
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transformers
safetensors
gpt2
generated_from_trainer
text-generation-inference
endpoints_compatible
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pretrained_model
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5383
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: 0.0006
train_batch_size: 1024
eval_batch_size: 1024
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100000
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5377
0.4546
100000
0.5496
0.5313
0.9092
200000
0.5442
0.5307
1.3639
300000
0.5422
0.5282
1.8185
400000
0.5406
0.5266
2.2731
500000
0.5393
0.5248
2.7277
600000
0.5383
Framework versions
Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
