mitrashatru commited on
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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-hi
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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: translate_model_error_v0.4
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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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+ # translate_model_error_v0.4
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8962
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+ - Bleu: 63.8488
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+ - Gen Len: 5.26
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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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+
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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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+ | No log | 1.0 | 13 | 1.9271 | 63.8488 | 5.26 |
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+ | No log | 2.0 | 26 | 1.8962 | 63.8488 | 5.26 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cpu
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ "num_beams": 4,
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+ "renormalize_logits": true,
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+ "transformers_version": "4.35.0"
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+ }
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