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---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: mt5-small-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-small-qa_v1
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6111
- Rouge1: 0.5618
- Rouge2: 0.3184
- Rougel: 0.5619
- Rougelsum: 0.5615
- Bleu: 0.3653
- Exact Match: 0.3573
## 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: 0.0003
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|:-----------:|
| 1.1338 | 1.0 | 2000 | 1.3124 | 0.4546 | 0.2541 | 0.4547 | 0.4545 | 0.2867 | 0.273 |
| 0.5454 | 2.0 | 4000 | 1.3752 | 0.5488 | 0.3100 | 0.5483 | 0.5481 | 0.3488 | 0.3362 |
| 0.3365 | 3.0 | 6000 | 1.4375 | 0.5533 | 0.3113 | 0.5535 | 0.5530 | 0.3482 | 0.3478 |
| 0.1999 | 4.0 | 8000 | 1.5008 | 0.5533 | 0.3111 | 0.5530 | 0.5528 | 0.3529 | 0.3367 |
| 0.1432 | 5.0 | 10000 | 1.6111 | 0.5618 | 0.3184 | 0.5619 | 0.5615 | 0.3653 | 0.3573 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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