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---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: pos_tagger_mT5
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. -->
# pos_tagger_mT5
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: 0.2412
- Bleu: 43.0091
- Gen Len: 15.8396
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.4428 | 1.0 | 1951 | 1.0474 | 5.7868 | 9.7778 |
| 1.1516 | 2.0 | 3902 | 0.9576 | 10.5757 | 12.2847 |
| 1.0597 | 3.0 | 5853 | 0.8899 | 13.9347 | 14.9239 |
| 0.9884 | 4.0 | 7804 | 0.8302 | 16.1689 | 15.3619 |
| 0.9326 | 5.0 | 9755 | 0.7601 | 18.7725 | 14.7579 |
| 0.8743 | 6.0 | 11706 | 0.6490 | 23.2392 | 15.3214 |
| 0.7841 | 7.0 | 13657 | 0.5002 | 30.4345 | 15.5328 |
| 0.6894 | 8.0 | 15608 | 0.4017 | 35.8055 | 15.7107 |
| 0.6169 | 9.0 | 17559 | 0.3348 | 39.2237 | 15.7143 |
| 0.5643 | 10.0 | 19510 | 0.2959 | 40.8199 | 15.7694 |
| 0.5362 | 11.0 | 21461 | 0.2716 | 41.8776 | 15.8021 |
| 0.515 | 12.0 | 23412 | 0.2573 | 42.4591 | 15.8157 |
| 0.4902 | 13.0 | 25363 | 0.2470 | 42.7953 | 15.8316 |
| 0.47 | 14.0 | 27314 | 0.2420 | 42.9749 | 15.8346 |
| 0.4635 | 15.0 | 29265 | 0.2412 | 43.0091 | 15.8396 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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