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--- |
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base_model: heisenberg1337/m2m100_418M_tq_fr_1 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: m2m100_418M_tq_fr_new_data |
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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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# m2m100_418M_tq_fr_new_data |
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This model is a fine-tuned version of [heisenberg1337/m2m100_418M_tq_fr_1](https://huggingface.co/heisenberg1337/m2m100_418M_tq_fr_1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7732 |
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- Bleu: 5.0521 |
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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: 5e-06 |
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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: linear |
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- num_epochs: 60 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.7993 | 1.69 | 100 | 0.7767 | 4.9208 | |
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| 0.7761 | 3.38 | 200 | 0.7743 | 4.7089 | |
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| 0.7723 | 5.06 | 300 | 0.7726 | 4.8445 | |
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| 0.7585 | 6.75 | 400 | 0.7720 | 4.8352 | |
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| 0.7468 | 8.44 | 500 | 0.7732 | 5.1454 | |
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| 0.7331 | 10.13 | 600 | 0.7744 | 4.8311 | |
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| 0.7301 | 11.81 | 700 | 0.7732 | 5.0521 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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