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finetuning-sentiment-model-3000-samples – AI Model by Nico78567 | AlphaNeural AI
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finetuning-sentiment-model-3000-samples
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safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
us
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finetuning-sentiment-model-3000-samples
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: 0.6972
eval_accuracy: 0.4067
eval_f1: 0.4035
eval_runtime: 138.036
eval_samples_per_second: 2.173
eval_steps_per_second: 0.138
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Framework versions
Transformers 4.42.4
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.19.1
