Goshective
commited on
kazparc_en_ru_marian_1
Browse files- .gitattributes +1 -0
- README.md +6 -8
- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
- runs/Dec08_16-57-00_7a753c7f4b43/events.out.tfevents.1733677025.7a753c7f4b43.1232.0 +3 -0
- runs/Dec08_17-53-57_7a753c7f4b43/events.out.tfevents.1733680438.7a753c7f4b43.15243.0 +3 -0
- runs/Dec08_18-13-25_7a753c7f4b43/events.out.tfevents.1733681605.7a753c7f4b43.15243.1 +3 -0
- source.spm +0 -0
- special_tokens_map.json +5 -0
- target.spm +3 -0
- tokenizer_config.json +38 -0
- training_args.bin +2 -2
- vocab.json +0 -0
.gitattributes
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README.md
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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/Helsinki-NLP/opus-mt-en-ru) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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- train_batch_size: 8
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch
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| 0.
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| 0.
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### Framework versions
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- Transformers 4.46.
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/Helsinki-NLP/opus-mt-en-ru) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0186
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## Model description
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- train_batch_size: 8
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.0225 | 1.0 | 9492 | 0.0195 |
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| 0.0168 | 2.0 | 18984 | 0.0186 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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config.json
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"share_encoder_decoder_embeddings": true,
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"static_position_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.46.
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"use_cache": true,
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"vocab_size": 62518
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}
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"share_encoder_decoder_embeddings": true,
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"static_position_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.46.3",
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"use_cache": true,
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"vocab_size": 62518
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}
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generation_config.json
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"num_beams": 4,
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"pad_token_id": 62517,
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"renormalize_logits": true,
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"transformers_version": "4.46.
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}
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"num_beams": 4,
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"pad_token_id": 62517,
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"renormalize_logits": true,
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"transformers_version": "4.46.3"
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}
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model.safetensors
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source.spm
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special_tokens_map.json
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{
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target.spm
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tokenizer_config.json
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"pad_token": "<pad>",
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"separate_vocabs": false,
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"source_lang": "en",
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"sp_model_kwargs": {},
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"target_lang": "ru",
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"tokenizer_class": "MarianTokenizer",
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"unk_token": "<unk>"
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training_args.bin
CHANGED
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vocab.json
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