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README.md
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---
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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: t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol-finetuned-nl-to-fol
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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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# t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol-finetuned-nl-to-fol
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This model is a fine-tuned version of [anki08/t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol](https://huggingface.co/anki08/t5-small-finetuned-text2log-finetuned-nl-to-fol-finetuned-nl-to-fol) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1468
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- Bleu: 30.3266
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- Gen Len: 18.8824
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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: 5e-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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- 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: 10
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- mixed_precision_training: Native AMP
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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 | 17 | 0.1486 | 30.3537 | 18.8824 |
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| No log | 2.0 | 34 | 0.1474 | 30.2522 | 18.8824 |
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| No log | 3.0 | 51 | 0.1465 | 30.2522 | 18.8824 |
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| No log | 4.0 | 68 | 0.1461 | 30.2522 | 18.8824 |
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| No log | 5.0 | 85 | 0.1469 | 30.2522 | 18.8824 |
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| No log | 6.0 | 102 | 0.1457 | 29.8889 | 18.8824 |
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| No log | 7.0 | 119 | 0.1470 | 30.3537 | 18.8824 |
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| No log | 8.0 | 136 | 0.1469 | 30.3537 | 18.8824 |
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| No log | 9.0 | 153 | 0.1469 | 30.3266 | 18.8824 |
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| No log | 10.0 | 170 | 0.1468 | 30.3266 | 18.8824 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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