End of training
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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-es
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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: opus-mt-en-es-finetuned-en-to-es-TA
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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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# opus-mt-en-es-finetuned-en-to-es-TA
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-es](https://huggingface.co/Helsinki-NLP/opus-mt-en-es) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1097
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- Bleu: 36.7132
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- Gen Len: 32.9874
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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: 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: 1
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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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| 1.2188 | 1.0 | 2989 | 1.1097 | 36.7132 | 32.9874 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.1
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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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65000
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]
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],
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"bos_token_id": 0,
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"decoder_start_token_id": 65000,
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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": 65000,
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"renormalize_logits": true,
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"transformers_version": "4.37.2"
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}
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model.safetensors
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runs/Feb09_15-56-06_1ca82d162237/events.out.tfevents.1707494186.1ca82d162237.1070.0
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size 6888
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