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# viktor-shevchuk/mt5-small-finetuned-amazon-en-es

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: 4.1750
- Validation Loss: 3.3898
- Epoch: 7

## 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 9672, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 10.4070    | 4.6558          | 0     |
| 6.0883     | 3.8535          | 1     |
| 5.2486     | 3.6039          | 2     |
| 4.7971     | 3.5308          | 3     |
| 4.6046     | 3.5102          | 4     |
| 4.4092     | 3.4733          | 5     |
| 4.2576     | 3.3962          | 6     |
| 4.1750     | 3.3898          | 7     |


### Framework versions

- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.0

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/mt5-small", "model-index": [{"name": "viktor-shevchuk/mt5-small-finetuned-amazon-en-es", "results": []}]}
transformers tf mt5 text2text-generation generated_from_keras_callback base_model:google/mt5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us