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--- |
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library_name: transformers |
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base_model: bowphs/pythia-70m-multi |
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tags: |
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- generated_from_trainer |
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datasets: |
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- bowphs/europarl_parallel |
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metrics: |
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- accuracy |
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model-index: |
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- name: debugging |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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dataset: |
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name: bowphs/europarl_parallel |
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type: bowphs/europarl_parallel |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.2825701437173418 |
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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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# debugging |
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This model is a fine-tuned version of [bowphs/pythia-70m-multi](https://huggingface.co/bowphs/pythia-70m-multi) on the bowphs/europarl_parallel dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.0273 |
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- Accuracy: 0.2826 |
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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-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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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 4.4846 | 1.0 | 5488 | 4.4230 | 0.2390 | |
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| 4.1079 | 2.0 | 10976 | 4.1156 | 0.2717 | |
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| 3.9841 | 3.0 | 16464 | 4.0273 | 0.2826 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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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 |
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