reinforce-dd / README.md
Tosin Kuye
update model card README.md
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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: reinforce-dd
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. -->
# reinforce-dd
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
## 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: 0.0005
- 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
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5375 | 1.35 | 500 | 0.0017 |
| 0.0001 | 2.7 | 1000 | 0.0000 |
| 0.0 | 4.05 | 1500 | 0.0000 |
### Framework versions
- Transformers 4.22.1
- Pytorch 1.12.0
- Datasets 2.5.1
- Tokenizers 0.12.1