metadata
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
model-index:
- name: arg-quality-regression
results: []
arg-quality-regression
This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0336
- eval_mse: 0.0336
- eval_mae: 0.1371
- eval_r2: 0.1512
- eval_accuracy: 0.9821
- eval_runtime: 85.2043
- eval_samples_per_second: 74.116
- eval_steps_per_second: 4.636
- epoch: 2.1131
- step: 3195
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: 11
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1