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thesis_v2 – AI Model by goldi1111 | AlphaNeural AI
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goldi1111
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thesis_v2
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tensorboard
safetensors
generated_from_trainer
openai-community/gpt2
finetune
mit
us
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thesis_v2
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.9817
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: 1e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 15
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.3022
2.78
25
3.9866
4.2852
5.56
50
3.9846
4.2623
8.33
75
3.9829
4.2679
11.11
100
3.9818
4.2675
13.89
125
3.9817
Framework versions
Transformers 4.38.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.15.2
