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movie_title_interpreter – AI Model by bluemoonwj | AlphaNeural AI
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movie_title_interpreter
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transformers
pytorch
tensorboard
opt
text-generation
generated_from_trainer
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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movie_title_interpreter
This model is a fine-tuned version of
facebook/opt-125m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1795
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
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.3443
1.0
2140
1.2764
1.2442
2.0
4280
1.2034
1.1918
3.0
6420
1.1795
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
