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---
library_name: transformers
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: mt5-base-qa_v1
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. -->
# mt5-base-qa_v1
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5600
- Rouge1: 0.7136
- Rouge2: 0.4062
- Rougel: 0.7131
- Rougelsum: 0.7129
- Bleu: 0.4978
- Exact Match: 0.4803
## 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: 0.0001
- 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Exact Match |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|:-----------:|
| 0.5439 | 1.0 | 2000 | 0.9280 | 0.6925 | 0.4012 | 0.6919 | 0.6921 | 0.4703 | 0.4422 |
| 0.2443 | 2.0 | 4000 | 1.0939 | 0.6986 | 0.3915 | 0.6984 | 0.6984 | 0.4537 | 0.4525 |
| 0.1263 | 3.0 | 6000 | 1.2665 | 0.7005 | 0.3898 | 0.7004 | 0.7005 | 0.4569 | 0.4723 |
| 0.0769 | 4.0 | 8000 | 1.5002 | 0.7159 | 0.4065 | 0.7158 | 0.7157 | 0.4987 | 0.4828 |
| 0.0507 | 5.0 | 10000 | 1.5600 | 0.7136 | 0.4062 | 0.7131 | 0.7129 | 0.4978 | 0.4803 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.0.1
- Tokenizers 0.20.1
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