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gp2_basemodel_v10 – AI Model by betteib | AlphaNeural AI
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gp2_basemodel_v10
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gp2_basemodel_v10
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 5.0581
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: 0.0005
train_batch_size: 10
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 40
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 7
Training results
Training Loss
Epoch
Step
Validation Loss
4.6393
0.9050
50
5.3195
4.3822
1.8100
100
5.2026
4.1742
2.7149
150
5.1256
4.0114
3.6199
200
5.0652
3.8758
4.5249
250
5.0247
3.7629
5.4299
300
5.0265
3.6674
6.3348
350
5.0581
Framework versions
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
