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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: m2m_pt |
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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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# m2m_pt |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4682 |
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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: 0.0005 |
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- train_batch_size: 12 |
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- eval_batch_size: 12 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 96 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.7388 | 0.09 | 2000 | 0.6464 | |
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| 0.6096 | 0.18 | 4000 | 0.5477 | |
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| 0.612 | 0.27 | 6000 | 0.5144 | |
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| 0.53 | 0.36 | 8000 | 0.4965 | |
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| 0.5744 | 0.45 | 10000 | 0.4856 | |
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| 0.5435 | 0.54 | 12000 | 0.4776 | |
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| 0.5428 | 0.63 | 14000 | 0.4726 | |
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| 0.5065 | 0.72 | 16000 | 0.4696 | |
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| 0.5287 | 0.81 | 18000 | 0.4685 | |
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| 0.5032 | 0.9 | 20000 | 0.4682 | |
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| 0.5451 | 0.99 | 22000 | 0.4682 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.20.0 |
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- Tokenizers 0.15.2 |
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