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--- |
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library_name: transformers |
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license: mit |
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base_model: facebook/m2m100_1.2B |
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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: model_output |
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results: [] |
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datasets: |
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- ArielUW/jobtitles |
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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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# model_output |
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This model is a fine-tuned version of [facebook/m2m100_1.2B](https://huggingface.co/facebook/m2m100_1.2B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7263 |
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- Bleu: 93.9441 |
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- Gen Len: 36.358 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- optimizer: Use OptimizerNames.ADAFACTOR and the args are: |
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No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 7 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:| |
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| 23.051 | 1.0 | 38 | 4.3445 | 89.5045 | 35.746 | |
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| 15.9099 | 2.0 | 76 | 3.5044 | 91.9617 | 36.366 | |
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| 12.7846 | 3.0 | 114 | 2.8211 | 92.7676 | 36.22 | |
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| 10.3083 | 4.0 | 152 | 2.3006 | 93.675 | 36.284 | |
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| 8.4622 | 5.0 | 190 | 1.9316 | 93.6498 | 36.348 | |
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| 7.3015 | 6.0 | 228 | 1.7263 | 93.9441 | 36.358 | |
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| 6.8211 | 6.8212 | 259 | 1.6685 | 93.7274 | 36.306 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
