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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/mt5-small |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: pakawadeep/mt5-small-finetuned-ctfl-backtranslation_7k |
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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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# pakawadeep/mt5-small-finetuned-ctfl-backtranslation_7k |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 5.1769 |
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- Validation Loss: 4.5958 |
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- Train Bleu: 0.0 |
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- Train Gen Len: 127.0 |
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- Epoch: 16 |
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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 | Validation Loss | Train Bleu | Train Gen Len | Epoch | |
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|:----------:|:---------------:|:----------:|:-------------:|:-----:| |
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| 18.4580 | 9.0813 | 0.0013 | 3.0 | 0 | |
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| 10.6168 | 8.0760 | 0.0008 | 50.0 | 1 | |
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| 8.9972 | 7.4303 | 0.0003 | 127.0 | 2 | |
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| 8.2615 | 7.1119 | 0.0010 | 3.0 | 3 | |
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| 7.8727 | 6.9450 | 0.0 | 2.0 | 4 | |
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| 7.6314 | 6.8080 | 0.0 | 2.0 | 5 | |
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| 7.4404 | 6.6029 | 0.0 | 2.0 | 6 | |
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| 7.2126 | 6.2358 | 0.0003 | 127.0 | 7 | |
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| 6.9077 | 5.6784 | 0.0003 | 127.0 | 8 | |
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| 6.5300 | 5.3165 | 0.0003 | 127.0 | 9 | |
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| 6.2332 | 5.0961 | 0.0003 | 127.0 | 10 | |
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| 5.9571 | 4.9619 | 0.0003 | 127.0 | 11 | |
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| 5.7344 | 4.8588 | 0.0 | 7.0 | 12 | |
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| 5.5347 | 4.7700 | 0.0 | 127.0 | 13 | |
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| 5.4059 | 4.7055 | 0.0005 | 127.0 | 14 | |
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| 5.2839 | 4.6485 | 0.0004 | 127.0 | 15 | |
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| 5.1769 | 4.5958 | 0.0 | 127.0 | 16 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- TensorFlow 2.17.0 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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