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  1. .gitattributes +5 -0
  2. README.md +74 -0
  3. all_results.json +22 -0
  4. checkpoint-141839/config.json +59 -0
  5. checkpoint-141839/generation_config.json +12 -0
  6. checkpoint-141839/model.safetensors +3 -0
  7. checkpoint-141839/optimizer.pt +3 -0
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  13. checkpoint-141839/sentencepiece.bpe.model +3 -0
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  15. checkpoint-141839/tokenizer.json +3 -0
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  17. checkpoint-141839/trainer_state.json +1737 -0
  18. checkpoint-141839/training_args.bin +3 -0
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  49. config.json +59 -0
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.gitattributes CHANGED
@@ -33,3 +33,8 @@ 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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  *.zst filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-141839/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-283678/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-354597/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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+ - 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_100p_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_100p_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: 0.8988
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+ - Bleu: 42.7907
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+ - Gen Len: 13.7941
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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: 2
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+ - eval_batch_size: 2
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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: 16
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+ - total_eval_batch_size: 8
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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_ratio: 0.01
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+ - num_epochs: 15
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+ - mixed_precision_training: Native AMP
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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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+ | 0.9719 | 1.0 | 70919 | 0.9435 | 40.8492 | 13.8028 |
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+ | 0.7537 | 2.0 | 141839 | 0.8988 | 42.7907 | 13.7941 |
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+ | 0.5973 | 3.0 | 212758 | 0.9143 | 43.4697 | 13.6556 |
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+ | 0.4873 | 4.0 | 283678 | 0.9758 | 43.6153 | 13.6544 |
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+ | 0.388 | 5.0 | 354597 | 1.0400 | 43.3763 | 13.6067 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
all_results.json ADDED
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+ {
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+ "epoch": 5.0,
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+ "eval_bleu": 42.7907,
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+ "eval_gen_len": 13.7941,
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+ "eval_loss": 0.8987888693809509,
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+ "eval_runtime": 10014.5277,
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+ "eval_samples": 141838,
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+ "eval_samples_per_second": 14.163,
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+ "eval_steps_per_second": 1.77,
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+ "predict_bleu": 42.8094,
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+ "predict_gen_len": 13.7545,
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+ "predict_loss": 0.89827561378479,
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+ "predict_runtime": 9974.8511,
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+ "predict_samples": 141838,
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+ "predict_samples_per_second": 14.22,
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+ "predict_steps_per_second": 1.777,
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+ "train_loss": 0.7189551201696451,
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+ "train_runtime": 324742.1955,
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+ "train_samples": 1134707,
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+ "train_samples_per_second": 52.413,
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+ "train_steps_per_second": 3.276
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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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+ "activation_dropout": 0.0,
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+ "activation_function": "relu",
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+ "MBartForConditionalGeneration"
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+ ],
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+ "d_model": 1024,
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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_layerdrop": 0.0,
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+ "encoder_layers": 12,
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+ "eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "vocab_size": 250054
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+ }
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+ {
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+ "de_DE",
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+ "en_XX",
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+ "es_XX",
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+ "fi_FI",
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+ "gu_IN",
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+ "hi_IN",
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+ "ja_XX",
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+ "kk_KZ",
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+ "ko_KR",
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+ "my_MM",
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+ "ne_NP",
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+ "nl_XX",
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+ "ro_RO",
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+ "ru_RU",
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+ "si_LK",
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+ "tr_TR",
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+ "vi_VN",
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+ "zh_CN",
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+ "af_ZA",
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+ "az_AZ",
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+ "bn_IN",
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+ "fa_IR",
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+ "he_IL",
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+ "hr_HR",
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+ "id_ID",
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+ "ka_GE",
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+ "km_KH",
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+ "mk_MK",
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+ "ml_IN",
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+ "mn_MN",
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+ "mr_IN",
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+ "pl_PL",
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+ "ps_AF",
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+ "pt_XX",
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+ "sv_SE",
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+ "sw_KE",
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+ "ta_IN",
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+ "te_IN",
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+ "th_TH",
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+ "tl_XX",
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+ "uk_UA",
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+ "ur_PK",
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+ "xh_ZA",
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+ "gl_ES",
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+ "sl_SI"
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+ ],
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+ "bos_token": "<s>",
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+ "clean_up_tokenization_spaces": true,
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+ "cls_token": "<s>",
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+ "eos_token": "</s>",
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+ "language_codes": "ML50",
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+ "mask_token": "<mask>",
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+ "pad_token": "<pad>",
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+ "sep_token": "</s>",
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+ "sp_model_kwargs": {},
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+ "src_lang": "zh_CN",
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+ "tgt_lang": "ko_KR",
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+ "tokenizer_class": "MBart50Tokenizer",
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+ "unk_token": "<unk>"
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+ }
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