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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: sophiebui/en-ru_mtmodel
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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: en-ru_mtmodel_v1
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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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+ # en-ru_mtmodel_v1
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+
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+ This model is a fine-tuned version of [sophiebui/en-ru_mtmodel](https://huggingface.co/sophiebui/en-ru_mtmodel) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8443
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+ - Bleu: 44.9157
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+ - Gen Len: 32.0811
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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: 8
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+ - eval_batch_size: 8
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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: 5
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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 | 226 | 0.9394 | 37.9005 | 31.5405 |
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+ | No log | 2.0 | 452 | 0.8537 | 43.6072 | 32.3514 |
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+ | 0.935 | 3.0 | 678 | 0.8400 | 46.3652 | 31.8108 |
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+ | 0.935 | 4.0 | 904 | 0.8482 | 44.6002 | 31.973 |
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+ | 0.4432 | 5.0 | 1130 | 0.8443 | 44.9157 | 32.0811 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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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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+ "early_stopping": true,
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+ "eos_token_id": 2,
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+ "max_length": 200,
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+ "num_beams": 5,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.44.2"
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+ }
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