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  1. .gitattributes +4 -0
  2. README.md +75 -0
  3. all_results.json +22 -0
  4. checkpoint-4000/config.json +59 -0
  5. checkpoint-4000/generation_config.json +12 -0
  6. checkpoint-4000/optimizer.pt +3 -0
  7. checkpoint-4000/pytorch_model.bin +3 -0
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  13. checkpoint-4000/sentencepiece.bpe.model +3 -0
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  15. checkpoint-4000/tokenizer.json +3 -0
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  17. checkpoint-4000/trainer_state.json +107 -0
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  49. config.json +59 -0
  50. eval_results.json +10 -0
.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-4000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-7000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-8000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ language:
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+ - ja
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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: jako_mbartLarge_6p
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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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+ # jako_mbartLarge_6p
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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: 1.1470
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+ - Bleu: 21.2511
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+ - Gen Len: 19.566
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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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+ - total_train_batch_size: 16
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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: 300
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+ - num_epochs: 10
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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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+ | 1.4498 | 0.48 | 1000 | 1.3303 | 16.7947 | 20.0778 |
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+ | 1.263 | 0.96 | 2000 | 1.1884 | 18.6214 | 20.6673 |
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+ | 0.8999 | 1.44 | 3000 | 1.1702 | 18.9014 | 19.4064 |
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+ | 0.827 | 1.92 | 4000 | 1.1470 | 21.2511 | 19.566 |
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+ | 0.5948 | 2.4 | 5000 | 1.2115 | 20.5498 | 19.3941 |
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+ | 0.5404 | 2.88 | 6000 | 1.2167 | 21.2187 | 19.4357 |
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+ | 0.3842 | 3.36 | 7000 | 1.2711 | 20.7732 | 19.3493 |
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+ | 0.3419 | 3.84 | 8000 | 1.2910 | 20.7001 | 19.3106 |
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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
all_results.json ADDED
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+ {
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+ "epoch": 3.84,
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+ "eval_bleu": 21.2511,
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+ "eval_gen_len": 19.566,
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+ "eval_loss": 1.146978735923767,
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+ "eval_runtime": 286.8614,
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+ "eval_samples": 4166,
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+ "eval_samples_per_second": 14.523,
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+ "eval_steps_per_second": 0.91,
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+ "predict_bleu": 20.3278,
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+ "predict_gen_len": 19.5461,
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+ "predict_loss": 1.160557508468628,
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+ "predict_runtime": 288.99,
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+ "predict_samples": 4166,
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+ "predict_samples_per_second": 14.416,
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+ "predict_steps_per_second": 0.903,
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+ "train_loss": 0.8529902515411377,
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+ "train_runtime": 11046.7228,
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+ "train_samples": 33333,
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+ "train_samples_per_second": 30.175,
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+ "train_steps_per_second": 1.887
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+ }
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+ "activation_function": "relu",
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+ "architectures": [
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+ "MBartForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.0,
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+ "decoder_ffn_dim": 4096,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 12,
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+ "decoder_start_token_id": 2,
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+ "dropout": 0.1,
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+ "early_stopping": true,
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+ "encoder_attention_heads": 16,
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+ "id2label": {
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+ "use_cache": true,
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+ "vocab_size": 250054
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+ }
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