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End of training

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README.md ADDED
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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: hensinki-en-es-finetuned-spanish-to-english-tateoba
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+ results: []
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+ ---
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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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+
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+ # hensinki-en-es-finetuned-spanish-to-english-tateoba
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+
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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: 0.7389
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+ - Bleu: 47.2153
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+ - Gen Len: 13.8167
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 2
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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+ | 0.9651 | 1.0 | 7069 | 0.8372 | 43.0236 | 13.7961 |
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+ | 0.8011 | 2.0 | 14138 | 0.7389 | 47.2153 | 13.8167 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ {
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+ "_name_or_path": "Helsinki-NLP/opus-mt-en-es",
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+ "activation_dropout": 0.0,
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+ "activation_function": "swish",
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+ "add_bias_logits": false,
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "MarianMTModel"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bad_words_ids": [
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+ [
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+ ]
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+ ],
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+ "bos_token_id": 0,
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+ "decoder_layerdrop": 0.0,
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+ "encoder_attention_heads": 8,
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+ "scale_embedding": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 65001
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+ }
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