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gpt-neo-125M-finetuned-v2-seinfeld – AI Model by sdeg | AlphaNeural AI
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gpt-neo-125M-finetuned-v2-seinfeld
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transformers
pytorch
tensorboard
gpt_neo
text-generation
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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gpt-neo-125M-finetuned-v2-seinfeld
This model is a fine-tuned version of
EleutherAI/gpt-neo-125M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.9070
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.2101
1.19
25
3.0819
3.0825
2.37
50
2.9915
2.9763
3.56
75
2.9368
2.8595
4.74
100
2.9059
2.7736
5.93
125
2.8900
2.7192
7.14
150
2.8900
2.556
8.33
175
2.9113
2.4483
9.51
200
2.9377
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2
