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walamakan-t5-base
This model is a fine-tuned version of Karzan/walamakan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3291
- 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: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 0.96 | 21 | 1.3668 | 0.0 | 19.0 |
| No log | 1.97 | 43 | 1.3613 | 0.0 | 19.0 |
| No log | 2.98 | 65 | 1.3530 | 0.0 | 19.0 |
| No log | 3.99 | 87 | 1.3503 | 0.0 | 19.0 |
| No log | 5.0 | 109 | 1.3476 | 0.0 | 19.0 |
| No log | 5.96 | 130 | 1.3429 | 0.0 | 19.0 |
| No log | 6.97 | 152 | 1.3415 | 0.0 | 19.0 |
| No log | 7.98 | 174 | 1.3408 | 0.0 | 19.0 |
| No log | 8.99 | 196 | 1.3382 | 0.0 | 19.0 |
| No log | 9.99 | 218 | 1.3387 | 0.0 | 19.0 |
| No log | 10.96 | 239 | 1.3301 | 0.0 | 19.0 |
| No log | 11.97 | 261 | 1.3344 | 0.0 | 19.0 |
| No log | 12.97 | 283 | 1.3323 | 0.0 | 19.0 |
| No log | 13.98 | 305 | 1.3312 | 0.0 | 19.0 |
| No log | 14.99 | 327 | 1.3329 | 0.0 | 19.0 |
| No log | 16.0 | 349 | 1.3323 | 0.0 | 19.0 |
| No log | 16.96 | 370 | 1.3289 | 0.0 | 19.0 |
| No log | 17.97 | 392 | 1.3291 | 0.0 | 19.0 |
| No log | 18.98 | 414 | 1.3289 | 0.0 | 19.0 |
| No log | 19.26 | 420 | 1.3291 | 0.0 | 19.0 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
