End of training
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README.md
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base_model: google/mt5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: test-trainer
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results: []
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# test-trainer
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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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## 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 | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 |
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### Framework versions
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base_model: google/mt5-small
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: test-trainer
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results: []
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# test-trainer
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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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- Loss: 1.1429
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- Precision: 0.3456
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- Recall: 0.4871
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- F1: 0.4043
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- Accuracy: 0.7180
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 250 | 1.4932 | 0.2804 | 0.4377 | 0.3418 | 0.6631 |
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| 4.0912 | 2.0 | 500 | 1.1429 | 0.3456 | 0.4871 | 0.4043 | 0.7180 |
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### Framework versions
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model.safetensors
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