---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-small-finetuned-ctfl-backtranslation_7k
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# pakawadeep/mt5-small-finetuned-ctfl-backtranslation_7k

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 4.4260
- Validation Loss: 4.1643
- Train Bleu: 0.0
- Train Gen Len: 127.0
- Epoch: 29

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch |
|:----------:|:---------------:|:----------:|:-------------:|:-----:|
| 18.4580    | 9.0813          | 0.0013     | 3.0           | 0     |
| 10.6168    | 8.0760          | 0.0008     | 50.0          | 1     |
| 8.9972     | 7.4303          | 0.0003     | 127.0         | 2     |
| 8.2615     | 7.1119          | 0.0010     | 3.0           | 3     |
| 7.8727     | 6.9450          | 0.0        | 2.0           | 4     |
| 7.6314     | 6.8080          | 0.0        | 2.0           | 5     |
| 7.4404     | 6.6029          | 0.0        | 2.0           | 6     |
| 7.2126     | 6.2358          | 0.0003     | 127.0         | 7     |
| 6.9077     | 5.6784          | 0.0003     | 127.0         | 8     |
| 6.5300     | 5.3165          | 0.0003     | 127.0         | 9     |
| 6.2332     | 5.0961          | 0.0003     | 127.0         | 10    |
| 5.9571     | 4.9619          | 0.0003     | 127.0         | 11    |
| 5.7344     | 4.8588          | 0.0        | 7.0           | 12    |
| 5.5347     | 4.7700          | 0.0        | 127.0         | 13    |
| 5.4059     | 4.7055          | 0.0005     | 127.0         | 14    |
| 5.2839     | 4.6485          | 0.0004     | 127.0         | 15    |
| 5.1769     | 4.5958          | 0.0        | 127.0         | 16    |
| 5.0864     | 4.5455          | 0.0        | 127.0         | 17    |
| 5.0025     | 4.5005          | 0.0        | 127.0         | 18    |
| 4.9161     | 4.4589          | 0.6412     | 127.0         | 19    |
| 4.8523     | 4.4206          | 0.8846     | 127.0         | 20    |
| 4.7860     | 4.3832          | 0.0        | 10.0          | 21    |
| 4.7340     | 4.3479          | 0.0        | 10.0          | 22    |
| 4.6707     | 4.3200          | 0.0        | 10.0          | 23    |
| 4.6181     | 4.2951          | 0.0        | 10.0          | 24    |
| 4.5780     | 4.2621          | 0.0        | 14.0          | 25    |
| 4.5309     | 4.2380          | 0.0        | 127.0         | 26    |
| 4.4944     | 4.2097          | 5.1292     | 29.0          | 27    |
| 4.4613     | 4.1865          | 0.0        | 127.0         | 28    |
| 4.4260     | 4.1643          | 0.0        | 127.0         | 29    |


### Framework versions

- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 3.0.0
- Tokenizers 0.19.1