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TRBLLmaker – AI Model by tokeron | AlphaNeural AI
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tokeron
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TRBLLmaker
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transformers
pytorch
gpt2
text-generation
generative-model
eng
TRBLLmaker
2212.04917
afl-3.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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Link to the arxiv
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About Us
Created by
Mor Ventura
and
Michael Toker
.
tags:
generated_from_trainer metrics:
accuracy model-index:
name: checkpoint_gpt2-medium_lyrics_meaning_2022-03-10-16-16-32 results: []
checkpoint_gpt2-medium_lyrics_meaning_2022-03-10-16-16-32
This model is a fine-tuned version of
gpt2-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.5896
Accuracy: 0.4923
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.7781
1.01
128
2.6284
0.4875
2.6217
2.02
256
2.6022
0.4908
2.569
3.02
384
2.5928
0.4917
Framework versions
Transformers 4.18.0.dev0
Pytorch 1.10.1
Datasets 1.18.3
Tokenizers 0.11.6