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README.md
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---
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library_name: transformers
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license: mit
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base_model: sophiebui/ru-en_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: ru-en_mtmodel_v1
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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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# ru-en_mtmodel_v1
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This model is a fine-tuned version of [sophiebui/ru-en_mtmodel](https://huggingface.co/sophiebui/ru-en_mtmodel) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1134
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- Bleu: 43.1972
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- Gen Len: 30.6216
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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: 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: 3
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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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| No log | 1.0 | 226 | 1.2067 | 39.6459 | 30.2432 |
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| No log | 2.0 | 452 | 1.1232 | 40.3147 | 30.8649 |
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| 1.2106 | 3.0 | 678 | 1.1134 | 43.1972 | 30.6216 |
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### Framework versions
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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
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generation_config.json
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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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runs/Nov01_10-15-53_1eccf8c892fa/events.out.tfevents.1730456158.1eccf8c892fa.10548.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d07511e7aae136deb5ee53907b202214d579f4759096d6fa93b1684bd1f7c7b
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size 7030
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