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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-v1_1-base-squadV2AutoQgen
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-v1_1-base-squadV2AutoQgen
This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5863
- Rouge1: 0.1449
- Rouge2: 0.0701
- Rougel: 0.1268
- Rougelsum: 0.1397
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.0146 | 1.0 | 4758 | 1.6980 | 0.143 | 0.0705 | 0.1257 | 0.1384 |
| 1.8197 | 2.0 | 9516 | 1.6290 | 0.1479 | 0.0716 | 0.1293 | 0.143 |
| 1.7023 | 3.0 | 14274 | 1.5961 | 0.1453 | 0.0711 | 0.1276 | 0.1402 |
| 1.6314 | 4.0 | 19032 | 1.5863 | 0.1449 | 0.0701 | 0.1268 | 0.1397 |
### Framework versions
- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.13.0
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