timelist_cointegrated_multi_task
This model is a fine-tuned version of cointegrated/rut5-base-multitask on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5310
- Bleu: 0.0
- Gen Len: 15.5385
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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 110 | 2.5703 | 0.0 | 15.5385 |
| No log | 2.0 | 220 | 2.5310 | 0.0 | 15.5385 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
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Model tree for marcus2000/timelist_cointegrated_multi_task
Base model
cointegrated/rut5-base-multitask