End of training
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README.md
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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-
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tags:
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- generated_from_trainer
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metrics:
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# mT5_base
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This model is a fine-tuned version of [google/mt5-
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Bleu Score:
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- Precision:
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- Recall:
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- Gen Len: 16.
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- Err:
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
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|:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:-------:|:-------:|:-------:|
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| 0.
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| 0.4951 | 4.0 | 3352 | 0.3417 | 47.0526 | 17.2043 | 17.2043 | 16.8315 | 17.2043 |
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### Framework versions
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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-base
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tags:
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- generated_from_trainer
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metrics:
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# mT5_base
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1703
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- Bleu Score: 51.176
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- Precision: 27.4791
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- Recall: 27.4791
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- Gen Len: 16.8805
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- Err: 27.4791
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
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|:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:-------:|:-------:|:-------:|
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| 1.3269 | 1.0 | 838 | 0.2396 | 48.4521 | 20.7885 | 20.7885 | 16.8339 | 20.7885 |
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| 0.2831 | 2.0 | 1676 | 0.1861 | 50.5118 | 26.1649 | 26.1649 | 16.8781 | 26.1649 |
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| 0.2167 | 3.0 | 2514 | 0.1703 | 51.176 | 27.4791 | 27.4791 | 16.8805 | 27.4791 |
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### Framework versions
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logs/events.out.tfevents.1728145765.b035966b8ee0.4495.0
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size 7775
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