Saman11233
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distilbert-imdb-sentiment

Text Classification

Generated from Trainer

text-embeddings-inference

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distilbert-imdb-sentiment

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.6970
eval_model_preparation_time: 0.0023
eval_runtime: 4.2471
eval_samples_per_second: 470.912
eval_steps_per_second: 14.834
epoch: 0
step: 0

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: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

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Safetensors

Model size

67M params

Tensor type

F32

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