metadata
license: mit
base_model: Tommert25/robbert_1210seed85
tags:
- generated_from_trainer
model-index:
- name: robbert_1210seed85
results: []
robbert_1210seed85
This model is a fine-tuned version of Tommert25/robbert_1210seed85 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4277
- eval_precisions: 0.8573
- eval_recall: 0.8195
- eval_f-measure: 0.8340
- eval_accuracy: 0.9453
- eval_runtime: 9.7303
- eval_samples_per_second: 82.937
- eval_steps_per_second: 5.241
- 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: 7.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 85
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 14
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1