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--- |
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base_model: napatswift/mt5-budget-seq-1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mt5-budget-seq2seq-2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mt5-budget-seq2seq-2 |
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This model is a fine-tuned version of [napatswift/mt5-budget-seq-1](https://huggingface.co/napatswift/mt5-budget-seq-1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Cer: 0.5769 |
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- Loss: 0.0073 |
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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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- learning_rate: 0.0006 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_steps: 90 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Cer | Validation Loss | |
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|:-------------:|:-----:|:----:|:------:|:---------------:| |
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| 0.0215 | 0.34 | 400 | 0.5769 | 0.0073 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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