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---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: t5-base_mrpc_dense_sp0_ar0
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: rte
split: validation
args: rte
metrics:
- name: Accuracy
type: accuracy
value: 0.0
---
<!-- 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-base_mrpc_dense_sp0_ar0
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0325
- Accuracy: 0.0
## 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: 32
- eval_batch_size: 64
- seed: 1
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.717 | 0.64 | 25 | 0.6894 | 0.5307 |
| 0.6467 | 1.28 | 50 | 0.6510 | 0.6173 |
| 0.6062 | 1.92 | 75 | 0.5660 | 0.7292 |
| 0.503 | 2.56 | 100 | 0.5416 | 0.7473 |
| 0.4691 | 3.21 | 125 | 0.5493 | 0.7220 |
| 0.4518 | 3.85 | 150 | 0.5516 | 0.7509 |
| 0.4087 | 4.49 | 175 | 0.5405 | 0.7690 |
| 0.3352 | 5.13 | 200 | 0.5216 | 0.7870 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.11.6
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