metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: sentiment-model
results: []
sentiment-model
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: 0.4302
- eval_accuracy: 0.8337
- eval_f1: 0.0
- eval_runtime: 25.9665
- eval_samples_per_second: 30.809
- eval_steps_per_second: 1.926
- epoch: 1.0
- step: 200
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 4.22.2
- Pytorch 1.12.1+cpu
- Tokenizers 0.12.1