---
tags:
- generated_from_trainer
model-index:
- name: t5-large_aug0_x0.0_model0_context100
  results: []
---

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# t5-large_aug0_x0.0_model0_context100

This model is a fine-tuned version of [/zhangpai23/zhuqi/pre-trained-models/t5-large](https://huggingface.co//zhangpai23/zhuqi/pre-trained-models/t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0202

## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 105  | 0.0426          |
| No log        | 2.0   | 210  | 0.0219          |
| No log        | 3.0   | 315  | 0.0221          |
| No log        | 4.0   | 420  | 0.0205          |
| 0.0864        | 5.0   | 525  | 0.0202          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.6.1
- Tokenizers 0.12.1
