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tmp – AI Model by jypucca | AlphaNeural AI
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jypucca
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tmp
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
distilbert/distilgpt2
adapter
apache-2.0
us
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Model card
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tmp
This model is a fine-tuned version of
distilbert/distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.2922
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
2.5623
1.0
2337
2.3956
2.4776
2.0
4674
2.3410
2.4591
3.0
7011
2.3128
2.445
4.0
9348
2.2974
2.4492
5.0
11685
2.2922
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
