metadata
tags:
- generated_from_trainer
model-index:
- name: sentiment-polish-gpt2-large
results: []
license: mit
datasets:
- clarin-pl/polemo2-official
language:
- pl
metrics:
- accuracy
sentiment-polish-gpt2-large
This model is a fine-tuned version of sdadas/polish-gpt2-large on the None dataset. It achieves the following results on the evaluation set:
- epoch: 10.0
- eval_accuracy: 0.9634
- eval_loss: 0.3139
- eval_runtime: 132.9089
- eval_samples_per_second: 197.428
- eval_steps_per_second: 98.714
- step: 65610
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1