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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-transferLearning-NL2BASH_seqTrain
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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-transferLearning-NL2BASH_seqTrain
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This model is a fine-tuned version of [kevinum/t5-small-finetuned-English-to-BASH](https://huggingface.co/kevinum/t5-small-finetuned-English-to-BASH) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6528
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- Bleu: 48.0701
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- Gen Len: 8.9028
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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: 0.0002
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 5
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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 | 36 | 1.2355 | 28.5051 | 8.3889 |
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| No log | 2.0 | 72 | 0.9627 | 33.1999 | 9.2778 |
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| No log | 3.0 | 108 | 0.7994 | 31.6555 | 8.4583 |
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| No log | 4.0 | 144 | 0.6886 | 44.1789 | 8.8194 |
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| No log | 5.0 | 180 | 0.6528 | 48.0701 | 8.9028 |
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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