update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: t5-large-finetuned-NL2BASH-customv3
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# t5-large-finetuned-NL2BASH-customv3
+
+This model is a fine-tuned version of [alexsha/t5-large-finetuned-English-to-BASH](https://huggingface.co/alexsha/t5-large-finetuned-English-to-BASH) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5034
+- Nl2bash M: 0.8858
+- Gen Len: 13.4256
+
+## 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: 0.0001
+- train_batch_size: 5
+- eval_batch_size: 5
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Nl2bash M | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| No log        | 1.0   | 387  | 0.5434          | 0.8332    | 13.438  |
+| 0.7237        | 2.0   | 774  | 0.4849          | 0.8452    | 13.3306 |
+| 0.3283        | 3.0   | 1161 | 0.4653          | 0.8723    | 13.3884 |
+| 0.2188        | 4.0   | 1548 | 0.4811          | 0.8784    | 13.6405 |
+| 0.2188        | 5.0   | 1935 | 0.5034          | 0.8858    | 13.4256 |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1
+- Datasets 2.6.1
+- Tokenizers 0.11.0