UGP/out/t5_results/README.md

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2023-02-16 18:21:17 +01:00
---
tags:
- generated_from_trainer
model-index:
- name: t5_results
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_results
This model is a fine-tuned version of [out/t5](https://huggingface.co/out/t5) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.2139
- eval_accuracy: 0.4675
- eval_runtime: 40.5651
- eval_samples_per_second: 49.303
- eval_steps_per_second: 6.163
- step: 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: 2e-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
- training_steps: 2500
### Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2