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--- |
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base_model: Karzan/walamakan-t5-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: walamakan-t5-base |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# walamakan-t5-base |
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This model is a fine-tuned version of [Karzan/walamakan-t5-base](https://huggingface.co/Karzan/walamakan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3291 |
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- Bleu: 0.0 |
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- Gen Len: 19.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:| |
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| No log | 0.96 | 21 | 1.3668 | 0.0 | 19.0 | |
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| No log | 1.97 | 43 | 1.3613 | 0.0 | 19.0 | |
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| No log | 2.98 | 65 | 1.3530 | 0.0 | 19.0 | |
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| No log | 3.99 | 87 | 1.3503 | 0.0 | 19.0 | |
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| No log | 5.0 | 109 | 1.3476 | 0.0 | 19.0 | |
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| No log | 5.96 | 130 | 1.3429 | 0.0 | 19.0 | |
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| No log | 6.97 | 152 | 1.3415 | 0.0 | 19.0 | |
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| No log | 7.98 | 174 | 1.3408 | 0.0 | 19.0 | |
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| No log | 8.99 | 196 | 1.3382 | 0.0 | 19.0 | |
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| No log | 9.99 | 218 | 1.3387 | 0.0 | 19.0 | |
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| No log | 10.96 | 239 | 1.3301 | 0.0 | 19.0 | |
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| No log | 11.97 | 261 | 1.3344 | 0.0 | 19.0 | |
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| No log | 12.97 | 283 | 1.3323 | 0.0 | 19.0 | |
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| No log | 13.98 | 305 | 1.3312 | 0.0 | 19.0 | |
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| No log | 14.99 | 327 | 1.3329 | 0.0 | 19.0 | |
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| No log | 16.0 | 349 | 1.3323 | 0.0 | 19.0 | |
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| No log | 16.96 | 370 | 1.3289 | 0.0 | 19.0 | |
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| No log | 17.97 | 392 | 1.3291 | 0.0 | 19.0 | |
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| No log | 18.98 | 414 | 1.3289 | 0.0 | 19.0 | |
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| No log | 19.26 | 420 | 1.3291 | 0.0 | 19.0 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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