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reward-imdb – AI Model by huiang | AlphaNeural AI
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huiang
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reward-imdb
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peft
tensorboard
safetensors
trl
reward-trainer
generated_from_trainer
distilbert/distilbert-base-uncased
adapter
apache-2.0
us
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reward-imdb
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6583
Accuracy: 0.6139
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6578
1.0
10050
0.6583
0.6139
Framework versions
PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
