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--- |
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language: |
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- src |
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- tgt |
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license: apache-2.0 |
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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: output_r1_iter_wo_p |
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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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# output_r1_iter_wo_p |
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1334 |
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- Bleu: 0.0 |
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- Gen Len: 2.432 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 512 |
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- total_eval_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: 20.0 |
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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 | 1.0 | 27 | 0.2728 | 0.0 | 2.9953 | |
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| No log | 2.0 | 54 | 0.2650 | 0.0 | 2.6791 | |
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| No log | 3.0 | 81 | 0.2637 | 0.0 | 2.1874 | |
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| No log | 4.0 | 108 | 0.2418 | 0.0 | 2.2973 | |
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| No log | 5.0 | 135 | 0.2738 | 0.0 | 2.2494 | |
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| No log | 6.0 | 162 | 0.1914 | 0.0 | 2.3812 | |
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| No log | 7.0 | 189 | 0.1641 | 0.0 | 2.3983 | |
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| No log | 8.0 | 216 | 0.1695 | 0.0 | 2.3995 | |
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| No log | 9.0 | 243 | 0.1521 | 0.0 | 2.4167 | |
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| No log | 10.0 | 270 | 0.1569 | 0.0 | 2.4167 | |
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| No log | 11.0 | 297 | 0.1615 | 0.0 | 2.4137 | |
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| No log | 12.0 | 324 | 0.1473 | 0.0 | 2.4238 | |
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| No log | 13.0 | 351 | 0.1376 | 0.0 | 2.4255 | |
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| No log | 14.0 | 378 | 0.1495 | 0.0 | 2.419 | |
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| No log | 15.0 | 405 | 0.1334 | 0.0 | 2.432 | |
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| No log | 16.0 | 432 | 0.1474 | 0.0 | 2.4214 | |
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| No log | 17.0 | 459 | 0.1484 | 0.0 | 2.4291 | |
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| No log | 18.0 | 486 | 0.1407 | 0.0 | 2.4297 | |
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| 0.1905 | 19.0 | 513 | 0.1568 | 0.0 | 2.4208 | |
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| 0.1905 | 20.0 | 540 | 0.1631 | 0.0 | 2.4261 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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