rut5_base_sum_gazeta-finetuned_week_gpt
This model is a fine-tuned version of IlyaGusev/rut5_base_sum_gazeta on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.3331
- eval_rouge1: 0.0
- eval_rouge2: 0.0
- eval_rougeL: 0.0
- eval_rougeLsum: 0.0
- eval_runtime: 7.8395
- eval_samples_per_second: 0.383
- eval_steps_per_second: 0.128
- 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: 5.6e-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: 8
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
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Model tree for Natet/rut5_base_sum_gazeta-finetuned_week_gpt
Base model
IlyaGusev/rut5_base_sum_gazeta