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# distilbert_base_multilingual_cased_ru_action_min_chunks_works_19_12

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0535
- Validation Loss: 1.3927
- Train Accuracy: 0.6869
- Epoch: 14

## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 6660, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.6916     | 0.6779          | 0.5859         | 0     |
| 0.6895     | 0.6660          | 0.6162         | 1     |
| 0.6505     | 0.6476          | 0.6566         | 2     |
| 0.5595     | 0.6096          | 0.7374         | 3     |
| 0.4751     | 0.7793          | 0.5960         | 4     |
| 0.3377     | 0.8518          | 0.6768         | 5     |
| 0.2418     | 1.0199          | 0.6465         | 6     |
| 0.1604     | 1.1340          | 0.6667         | 7     |
| 0.1399     | 1.1893          | 0.6465         | 8     |
| 0.1198     | 0.9966          | 0.6465         | 9     |
| 0.0854     | 1.2855          | 0.6768         | 10    |
| 0.0747     | 1.2972          | 0.6566         | 11    |
| 0.0594     | 1.3570          | 0.6970         | 12    |
| 0.0561     | 1.4063          | 0.6566         | 13    |
| 0.0535     | 1.3927          | 0.6869         | 14    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-multilingual-cased", "model-index": [{"name": "distilbert_base_multilingual_cased_ru_action_min_chunks_works_19_12", "results": []}]}
transformers tf distilbert text-classification generated_from_keras_callback base_model:distilbert-base-multilingual-cased license:apache-2.0 autotrain_compatible endpoints_compatible region:us