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autoregressive_finetune_rate5e-05_epochs5 – AI Model by katieguo | AlphaNeural AI
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katieguo
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autoregressive_finetune_rate5e-05_epochs5
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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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autoregressive_finetune_rate5e-05_epochs5
This model is a fine-tuned version of
distilbert/distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.6232
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
11
3.0703
No log
2.0
22
2.8433
No log
3.0
33
2.7110
No log
4.0
44
2.6447
No log
5.0
55
2.6232
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
