metadata
base_model: Karzan/ckb-t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: walamakan-t5-base
results: []
walamakan-t5-base
This model is a fine-tuned version of Karzan/ckb-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8637
- Bleu: 0.0
- Gen Len: 19.0
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 87 | 4.3273 | 0.0 | 19.0 |
| No log | 1.99 | 174 | 4.1466 | 0.0 | 18.9807 |
| No log | 2.99 | 261 | 4.0477 | 0.0 | 18.955 |
| No log | 4.0 | 349 | 3.9853 | 0.0 | 19.0 |
| No log | 5.0 | 436 | 3.9426 | 0.0 | 19.0 |
| 4.321 | 5.99 | 523 | 3.9122 | 0.0 | 19.0 |
| 4.321 | 6.99 | 610 | 3.8894 | 0.0 | 19.0 |
| 4.321 | 8.0 | 698 | 3.8749 | 0.0 | 19.0 |
| 4.321 | 9.0 | 785 | 3.8672 | 0.0 | 19.0 |
| 4.321 | 9.97 | 870 | 3.8637 | 0.0 | 19.0 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3