End of training
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README.md
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---
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license: cc-by-nc-4.0
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base_model: facebook/nllb-200-distilled-600M
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tags:
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- generated_from_trainer
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model-index:
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- name: dyu-fr-nllb-distilled
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/barro-african-masters-of-machine-intelligence/huggingface/runs/ujihlj3m)
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# dyu-fr-nllb-distilled
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This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8422
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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: 16
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- eval_batch_size: 16
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- seed: 42
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 5.055 | 1.0 | 505 | 2.0886 |
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| 1.2745 | 2.0 | 1010 | 0.8845 |
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| 0.8132 | 3.0 | 1515 | 0.8499 |
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| 0.7598 | 4.0 | 2020 | 0.8413 |
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| 0.7301 | 5.0 | 2525 | 0.8422 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"eos_token_id": 2,
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"max_length": 200,
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"pad_token_id": 1,
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"transformers_version": "4.42.4"
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}
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runs/Jul30_09-36-39_48144dac7c0e/events.out.tfevents.1722332200.48144dac7c0e.847.0
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size
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version https://git-lfs.github.com/spec/v1
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size 7866
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