distilbert-base-multilingual-cased-finetuned-imdb-v2 – AI Model by marcelovidigal | AlphaNeural AI

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distilbert-base-multilingual-cased-finetuned-imdb-v2

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distilbert-base-multilingual-cased-finetuned-imdb-v2

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

Loss: 2.2042
Model Preparation Time: 0.0

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: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
2.6967	1.0	259	2.4319	0.0
2.5156	2.0	518	2.3565	0.0
2.4422	3.0	777	2.3096	0.0
2.4045	4.0	1036	2.2846	0.0
2.3612	5.0	1295	2.2520	0.0
2.3413	6.0	1554	2.2347	0.0
2.3211	7.0	1813	2.2225	0.0
2.3099	8.0	2072	2.2142	0.0
2.2957	9.0	2331	2.2033	0.0
2.2919	10.0	2590	2.1960	0.0

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0