t5_fine_tuned_with_yake_keywords
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 17.5148
- eval_rouge1: 7.1762
- eval_rouge2: 4.5823
- eval_rougeL: 6.305
- eval_rougeLsum: 6.3057
- eval_gen_len: 19.0
- eval_runtime: 1940.5429
- eval_samples_per_second: 5.921
- eval_steps_per_second: 1.184
- epoch: 13.0
- step: 187200
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for thevyasamit/t5_fine_tuned_with_yake_keywords
Base model
google-t5/t5-base