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  1. .gitattributes +4 -0
  2. README.md +77 -0
  3. all_results.json +22 -0
  4. checkpoint-12000/config.json +59 -0
  5. checkpoint-12000/generation_config.json +12 -0
  6. checkpoint-12000/optimizer.pt +3 -0
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  17. checkpoint-12000/trainer_state.json +243 -0
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  19. checkpoint-13500/config.json +59 -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-12000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-13500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-7500/tokenizer.json 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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+ - 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_13p_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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+ # jako_mbartLarge_13p_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: 1.0819
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+ - Bleu: 29.1055
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+ - Gen Len: 18.2731
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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: 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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+ | 1.3826 | 0.39 | 1500 | 1.2989 | 22.0729 | 18.9717 |
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+ | 1.1964 | 0.78 | 3000 | 1.1630 | 25.4863 | 19.1908 |
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+ | 0.9449 | 1.17 | 4500 | 1.1125 | 27.385 | 18.2955 |
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+ | 0.8102 | 1.56 | 6000 | 1.0920 | 28.0041 | 18.6572 |
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+ | 0.7692 | 1.95 | 7500 | 1.0819 | 29.1055 | 18.2731 |
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+ | 0.5741 | 2.34 | 9000 | 1.1369 | 28.1574 | 18.3485 |
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+ | 0.5198 | 2.73 | 10500 | 1.1538 | 28.657 | 18.4527 |
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+ | 0.4532 | 3.12 | 12000 | 1.1582 | 28.6914 | 18.4562 |
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+ | 0.3466 | 3.51 | 13500 | 1.2048 | 28.8955 | 18.427 |
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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": 3.51,
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+ "eval_bleu": 29.1055,
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+ "eval_gen_len": 18.2731,
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+ "eval_loss": 1.0819282531738281,
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+ "eval_runtime": 528.0318,
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+ "eval_samples": 7701,
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+ "eval_samples_per_second": 14.584,
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+ "eval_steps_per_second": 0.913,
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+ "predict_bleu": 28.5511,
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+ "predict_gen_len": 18.2883,
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+ "predict_loss": 1.079685091972351,
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+ "predict_runtime": 526.8329,
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+ "predict_samples": 7701,
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+ "predict_samples_per_second": 14.618,
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+ "predict_steps_per_second": 0.915,
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+ "train_loss": 0.8403220813892506,
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+ "train_runtime": 20423.5684,
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+ "train_samples": 61615,
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+ "train_samples_per_second": 30.169,
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+ "train_steps_per_second": 1.886
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+ }
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+ {
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+ "_name_or_path": "facebook/mbart-large-50-many-to-many-mmt",
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+ "_num_labels": 3,
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+ "activation_dropout": 0.0,
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+ "MBartForConditionalGeneration"
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+ "decoder_attention_heads": 16,
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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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+ "vocab_size": 250054
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+ }
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