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testdatasetpretraining – AI Model by danielkosyra | AlphaNeural AI
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testdatasetpretraining
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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testdatasetpretraining
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.3016
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 320
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
training_steps: 1250
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
5.7934
2.4777
250
4.3840
3.6869
4.9554
500
3.6285
3.0053
7.4331
750
3.3747
2.6172
9.9108
1000
3.2880
2.3081
12.3885
1250
3.3016
Framework versions
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
