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  1. .gitattributes +4 -0
  2. README.md +74 -0
  3. all_results.json +22 -0
  4. checkpoint-32000/config.json +59 -0
  5. checkpoint-32000/generation_config.json +12 -0
  6. checkpoint-32000/optimizer.pt +3 -0
  7. checkpoint-32000/pytorch_model.bin +3 -0
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  13. checkpoint-32000/sentencepiece.bpe.model +3 -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-32000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-48000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-56000/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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+ - ko
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+ - ja
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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: koja_mbartLarge_55p_run2
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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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+ # koja_mbartLarge_55p_run2
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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: 0.9303
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+ - Bleu: 57.3778
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+ - Gen Len: 16.682
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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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+ - 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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+ | 1.0633 | 0.48 | 8000 | 1.0419 | 52.4575 | 17.4003 |
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+ | 0.9731 | 0.97 | 16000 | 0.9550 | 55.7136 | 16.9686 |
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+ | 0.7608 | 1.45 | 24000 | 0.9372 | 56.8788 | 16.7537 |
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+ | 0.7213 | 1.93 | 32000 | 0.9303 | 57.4421 | 16.6742 |
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+ | 0.5702 | 2.42 | 40000 | 0.9622 | 56.774 | 16.4703 |
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+ | 0.5416 | 2.9 | 48000 | 0.9697 | 57.4192 | 16.6763 |
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+ | 0.4226 | 3.38 | 56000 | 1.0399 | 56.5425 | 16.4626 |
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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": 3.38,
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+ "eval_bleu": 57.3778,
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+ "eval_gen_len": 16.682,
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+ "eval_loss": 0.9302786588668823,
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+ "eval_runtime": 1855.7379,
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+ "eval_samples": 33118,
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+ "eval_samples_per_second": 17.846,
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+ "eval_steps_per_second": 1.115,
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+ "predict_bleu": 57.2562,
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+ "predict_gen_len": 16.6604,
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+ "predict_loss": 0.9278027415275574,
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+ "predict_runtime": 1858.8684,
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+ "predict_samples": 33119,
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+ "predict_samples_per_second": 17.817,
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+ "predict_steps_per_second": 1.114,
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+ "train_loss": 0.769322598866054,
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+ "train_runtime": 78872.3822,
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+ "train_samples": 264951,
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+ "train_samples_per_second": 33.592,
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+ "train_steps_per_second": 2.099
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+ }
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+ {
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+ "activation_function": "relu",
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+ "add_bias_logits": false,
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+ "add_final_layer_norm": true,
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+ "architectures": [
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+ "MBartForConditionalGeneration"
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+ ],
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+ "decoder_attention_heads": 16,
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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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+ "encoder_ffn_dim": 4096,
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+ "encoder_layerdrop": 0.0,
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+ "eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "vocab_size": 250054
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+ }
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