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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: en-it-model |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# en-it-model |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-it](https://huggingface.co/Helsinki-NLP/opus-mt-en-it) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1962 |
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- Train Acc: 0.4204 |
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- Validation Loss: 0.2883 |
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- Validation Acc: 0.4046 |
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- Epoch: 8 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Acc | Validation Loss | Validation Acc | Epoch | |
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|:----------:|:---------:|:---------------:|:--------------:|:-----:| |
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| 0.3407 | 0.4068 | 0.2950 | 0.4038 | 0 | |
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| 0.2827 | 0.4128 | 0.2846 | 0.4052 | 1 | |
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| 0.2563 | 0.4147 | 0.2787 | 0.4054 | 2 | |
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| 0.2389 | 0.4166 | 0.2777 | 0.4056 | 3 | |
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| 0.2262 | 0.4185 | 0.2800 | 0.4051 | 4 | |
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| 0.2161 | 0.4186 | 0.2817 | 0.4049 | 5 | |
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| 0.2082 | 0.4199 | 0.2829 | 0.4051 | 6 | |
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| 0.2014 | 0.4213 | 0.2860 | 0.4047 | 7 | |
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| 0.1962 | 0.4204 | 0.2883 | 0.4046 | 8 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- TensorFlow 2.9.2 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.2 |
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