metadata

license: apache-2.0
base_model: distilbert-base-uncased-finetuned-sst-2-english
tags:
  - generated_from_trainer
model-index:
  - name: finetuning-sentiment-model-3000-samples
    results: []

finetuning-sentiment-model-3000-samples

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3019
eval_accuracy: 0.8967
eval_f1: 0.9341
eval_runtime: 16.5021
eval_samples_per_second: 54.538
eval_steps_per_second: 3.454
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 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1