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rus_gpt2 – AI Model by SaviAnna | AlphaNeural AI
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SaviAnna
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rus_gpt2
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tensorboard
safetensors
gpt2
generated_from_trainer
openai-community/gpt2
finetune
mit
us
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rus_gpt2
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7236
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: 0.005
train_batch_size: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 50
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.8953
0.1698
1000
3.4876
3.367
0.3396
2000
3.1754
3.1352
0.5094
3000
2.9977
2.9605
0.6792
4000
2.8416
2.8138
0.8490
5000
2.7236
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
