File size: 2,035 Bytes
4eb27d3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-large-t5large-English-to-BASH
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-t5large-English-to-BASH
This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6448
- Nl2bash M: 0.7181
- Gen Len: 14.2079
## 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: 4e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Nl2bash M | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
| 1.8995 | 1.0 | 561 | 1.1364 | 0.5124 | 13.7261 |
| 1.1669 | 2.0 | 1122 | 0.9093 | 0.5966 | 13.9349 |
| 0.9508 | 3.0 | 1683 | 0.8024 | 0.645 | 13.7716 |
| 0.8426 | 4.0 | 2244 | 0.7366 | 0.6696 | 13.9492 |
| 0.7574 | 5.0 | 2805 | 0.6994 | 0.6888 | 14.099 |
| 0.6884 | 6.0 | 3366 | 0.6756 | 0.6946 | 14.2498 |
| 0.6301 | 7.0 | 3927 | 0.6573 | 0.7101 | 14.3782 |
| 0.6031 | 8.0 | 4488 | 0.6476 | 0.7165 | 14.1793 |
| 0.5536 | 9.0 | 5049 | 0.6465 | 0.7164 | 14.1989 |
| 0.5443 | 10.0 | 5610 | 0.6448 | 0.7181 | 14.2079 |
### Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
|