gpt2-walamakan-2
This model is a fine-tuned version of Karzan/gpt2-walamakan-2 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 7.2866
- eval_runtime: 1.4868
- eval_samples_per_second: 67.261
- eval_steps_per_second: 3.363
- epoch: 22.99
- step: 868
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: 3e-05
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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