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--- |
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base_model: heisenberg1337/m2m100_418M_tq_fr |
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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_1 |
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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_1 |
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This model is a fine-tuned version of [heisenberg1337/m2m100_418M_tq_fr](https://huggingface.co/heisenberg1337/m2m100_418M_tq_fr) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8665 |
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- Bleu: 5.8216 |
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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: 30 |
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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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| 0.8405 | 0.97 | 100 | 0.8682 | 5.4390 | |
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| 0.8303 | 1.94 | 200 | 0.8661 | 5.3736 | |
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| 0.8245 | 2.91 | 300 | 0.8616 | 5.5394 | |
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| 0.807 | 3.87 | 400 | 0.8632 | 5.4620 | |
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| 0.7954 | 4.84 | 500 | 0.8637 | 5.6718 | |
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| 0.7827 | 5.81 | 600 | 0.8665 | 5.8216 | |
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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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