End of training
Browse files- README.md +55 -0
- generation_config.json +16 -0
README.md
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---
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license: apache-2.0
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base_model: Helsinki-NLP/opus-mt-en-fr
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tags:
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- generated_from_trainer
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datasets:
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- kde4
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model-index:
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- name: lab1_random
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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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# lab1_random
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the kde4 dataset.
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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: 64
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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: 3
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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generation_config.json
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{
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"bad_words_ids": [
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[
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59513
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]
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],
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"bos_token_id": 0,
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"decoder_start_token_id": 59513,
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"eos_token_id": 0,
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"forced_eos_token_id": 0,
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"max_length": 512,
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"num_beams": 4,
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"pad_token_id": 59513,
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"renormalize_logits": true,
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"transformers_version": "4.35.2"
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}
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