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toki-pona-gpt2-alpaca-better – AI Model by adamthekiwi | AlphaNeural AI
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toki-pona-gpt2-alpaca-better
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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toki-pona-gpt2-alpaca-better
This model is a fine-tuned version of
vicgalle/gpt2-alpaca-gpt4
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5278
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: 2e-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
lr_scheduler_warmup_steps: 500
num_epochs: 7
Training results
Training Loss
Epoch
Step
Validation Loss
0.8469
1.0
13818
0.7308
0.7526
2.0
27636
0.6435
0.686
3.0
41454
0.5936
0.6331
4.0
55272
0.5625
0.6076
5.0
69090
0.5435
0.5832
6.0
82908
0.5318
0.5825
7.0
96726
0.5278
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
