adeptschneiderthedev
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End of training
Browse files- README.md +59 -0
- generation_config.json +8 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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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: nllb-english-somali_v4.0
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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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# nllb-english-somali_v4.0
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.2968
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- eval_bleu: 38.1002
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- eval_gen_len: 43.665
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- eval_runtime: 30.0825
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- eval_samples_per_second: 13.596
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- eval_steps_per_second: 0.864
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- epoch: 19.4175
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- step: 2000
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use 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: 150
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.47.0
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- Pytorch 2.1.0+cu118
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- Datasets 3.1.0
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- Tokenizers 0.21.0
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generation_config.json
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{
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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": "4.47.0"
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}
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model.safetensors
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size 2460354912
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