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Fine_tuned_model – AI Model by Nirwa22 | AlphaNeural AI
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Nirwa22
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Fine_tuned_model
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
distilbert/distilgpt2
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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Fine_tuned_model
This model is a fine-tuned version of
distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.3064
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
3
3.3719
No log
2.0
6
3.3356
No log
3.0
9
3.3165
No log
4.0
12
3.3071
No log
5.0
15
3.3064
Framework versions
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
