BestRobBERT1610 / README.md
Tommert25's picture
End of training
a86f3b8
---
license: mit
base_model: Tommert25/robbert_1210seed25
tags:
- generated_from_trainer
model-index:
- name: robbert_1210seed25
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robbert_1210seed25
This model is a fine-tuned version of [Tommert25/robbert_1210seed25](https://huggingface.co/Tommert25/robbert_1210seed25) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3499
- eval_precisions: 0.8378
- eval_recall: 0.8190
- eval_f-measure: 0.8274
- eval_accuracy: 0.9431
- eval_runtime: 9.6837
- eval_samples_per_second: 83.336
- eval_steps_per_second: 5.267
- 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: 25
- 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