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---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- tex2log
- log2tex
- foc
widget:
- text: "translate to nl: all x1.(_explanation(x1) -> -_equal(x1))"
model-index:
- name: t5-small-text2log
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-small-text2log
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an Text2Log dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0313
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.0749 | 1.0 | 21661 | 0.0509 |
| 0.0564 | 2.0 | 43322 | 0.0396 |
| 0.0494 | 3.0 | 64983 | 0.0353 |
| 0.0425 | 4.0 | 86644 | 0.0332 |
| 0.04 | 5.0 | 108305 | 0.0320 |
| 0.0381 | 6.0 | 129966 | 0.0313 |
### Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0
|