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.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ language:
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+ - zh
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+ - ko
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+ base_model: facebook/mbart-large-50-many-to-many-mmt
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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: zhko_mbartLarge_19p_run1
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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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+ # zhko_mbartLarge_19p_run1
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+
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+ This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4881
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+ - Bleu: 9.8019
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+ - Gen Len: 14.5611
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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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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+ - total_eval_batch_size: 16
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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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+ - lr_scheduler_warmup_steps: 1500
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+ - num_epochs: 15
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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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+ | 1.1911 | 1.79 | 5000 | 1.4881 | 9.7977 | 14.6128 |
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+ | 0.6536 | 3.59 | 10000 | 1.6061 | 13.3897 | 14.9179 |
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+ | 0.3665 | 5.38 | 15000 | 1.7929 | 14.0018 | 15.2051 |
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+ | 0.194 | 7.18 | 20000 | 1.9399 | 14.7102 | 14.7308 |
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+ | 0.1004 | 8.97 | 25000 | 2.0679 | 14.9684 | 14.8811 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ {
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+ "epoch": 8.97,
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+ "eval_bleu": 9.8019,
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+ "eval_gen_len": 14.5611,
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+ "eval_loss": 1.4880632162094116,
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+ "eval_runtime": 647.682,
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+ "eval_samples": 11142,
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+ "eval_samples_per_second": 17.203,
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+ "eval_steps_per_second": 1.076,
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+ "predict_bleu": 10.024,
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+ "predict_gen_len": 14.6059,
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+ "predict_loss": 1.4925848245620728,
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+ "predict_runtime": 654.1368,
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+ "predict_samples": 11143,
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+ "predict_samples_per_second": 17.035,
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+ "predict_steps_per_second": 1.066,
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+ "train_loss": 0.6854593217468262,
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+ "train_runtime": 45689.3015,
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+ "train_samples": 89146,
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+ "train_samples_per_second": 29.267,
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+ "train_steps_per_second": 0.915
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+ }
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