63 lines
1.2 KiB
Markdown
63 lines
1.2 KiB
Markdown
|
---
|
||
|
|
language:
|
||
|
|
- text
|
||
|
|
- label
|
||
|
|
license: apache-2.0
|
||
|
|
tags:
|
||
|
|
- generated_from_trainer
|
||
|
|
metrics:
|
||
|
|
- bleu
|
||
|
|
- accuracy
|
||
|
|
model-index:
|
||
|
|
- name: t5_v1_1
|
||
|
|
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
|
||
|
|
|
||
|
|
This model is a fine-tuned version of [google/t5-v1_1-small](https://huggingface.co/google/t5-v1_1-small) on an unknown dataset.
|
||
|
|
It achieves the following results on the evaluation set:
|
||
|
|
- Loss: 0.5495
|
||
|
|
- Bleu: 0.0
|
||
|
|
- Accuracy: 1.0
|
||
|
|
- Gen Len: 2.0
|
||
|
|
|
||
|
|
## 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: 1.0
|
||
|
|
|
||
|
|
### Training results
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
### Framework versions
|
||
|
|
|
||
|
|
- Transformers 4.26.1
|
||
|
|
- Pytorch 1.13.1+cu116
|
||
|
|
- Datasets 2.9.0
|
||
|
|
- Tokenizers 0.13.2
|