Training in progress, epoch 1
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- .gitattributes +4 -0
- README.md +73 -0
- added_tokens.json +3 -0
- all_results.json +26 -0
- eval_results.json +12 -0
- generated_predictions.csv +0 -0
- predict_results.json +11 -0
- prefix_tuning_par_bn_zwj/adapter_config.json +59 -0
- prefix_tuning_par_bn_zwj/head_config.json +15 -0
- prefix_tuning_par_bn_zwj/pytorch_adapter.bin +3 -0
- prefix_tuning_par_bn_zwj/pytorch_model_head.bin +3 -0
- prefix_tuning_par_bn_zwj_hiru/adapter_config.json +59 -0
- prefix_tuning_par_bn_zwj_hiru/head_config.json +15 -0
- prefix_tuning_par_bn_zwj_hiru/pytorch_adapter.bin +3 -0
- prefix_tuning_par_bn_zwj_hiru/pytorch_model_head.bin +3 -0
- run-0/checkpoint-144/added_tokens.json +3 -0
- run-0/checkpoint-144/optimizer.pt +3 -0
- run-0/checkpoint-144/prefix_tuning_par_bn_zwj_hiru/adapter_config.json +59 -0
- run-0/checkpoint-144/prefix_tuning_par_bn_zwj_hiru/head_config.json +15 -0
- run-0/checkpoint-144/prefix_tuning_par_bn_zwj_hiru/pytorch_adapter.bin +3 -0
- run-0/checkpoint-144/prefix_tuning_par_bn_zwj_hiru/pytorch_model_head.bin +3 -0
- run-0/checkpoint-144/rng_state.pth +3 -0
- run-0/checkpoint-144/scheduler.pt +3 -0
- run-0/checkpoint-144/sentencepiece.bpe.model +3 -0
- run-0/checkpoint-144/special_tokens_map.json +43 -0
- run-0/checkpoint-144/tokenizer.json +3 -0
- run-0/checkpoint-144/tokenizer_config.json +292 -0
- run-0/checkpoint-144/trainer_state.json +47 -0
- run-0/checkpoint-144/training_args.bin +3 -0
- run-0/checkpoint-216/added_tokens.json +3 -0
- run-0/checkpoint-216/optimizer.pt +3 -0
- run-0/checkpoint-216/prefix_tuning_par_bn_zwj_hiru/adapter_config.json +59 -0
- run-0/checkpoint-216/prefix_tuning_par_bn_zwj_hiru/head_config.json +15 -0
- run-0/checkpoint-216/prefix_tuning_par_bn_zwj_hiru/pytorch_adapter.bin +3 -0
- run-0/checkpoint-216/prefix_tuning_par_bn_zwj_hiru/pytorch_model_head.bin +3 -0
- run-0/checkpoint-216/rng_state.pth +3 -0
- run-0/checkpoint-216/scheduler.pt +3 -0
- run-0/checkpoint-216/sentencepiece.bpe.model +3 -0
- run-0/checkpoint-216/special_tokens_map.json +43 -0
- run-0/checkpoint-216/tokenizer.json +3 -0
- run-0/checkpoint-216/tokenizer_config.json +292 -0
- run-0/checkpoint-216/trainer_state.json +59 -0
- run-0/checkpoint-216/training_args.bin +3 -0
- run-0/checkpoint-72/added_tokens.json +3 -0
- run-0/checkpoint-72/optimizer.pt +3 -0
- run-0/checkpoint-72/prefix_tuning_par_bn_zwj_hiru/adapter_config.json +59 -0
- run-0/checkpoint-72/prefix_tuning_par_bn_zwj_hiru/head_config.json +15 -0
- run-0/checkpoint-72/prefix_tuning_par_bn_zwj_hiru/pytorch_adapter.bin +3 -0
- run-0/checkpoint-72/prefix_tuning_par_bn_zwj_hiru/pytorch_model_head.bin +3 -0
- run-0/checkpoint-72/rng_state.pth +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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run-0/checkpoint-144/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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run-0/checkpoint-216/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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run-0/checkpoint-72/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: facebook/mbart-large-cc25
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tags:
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- generated_from_trainer
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model-index:
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- name: test
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results: []
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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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# test
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This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2042
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- Gen Len: 18.5844
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- Rouge-1: 34.6893
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- Rouge-2: 17.6676
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- Rouge-l: 34.0228
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: polynomial
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 50
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- label_smoothing_factor: 0.1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Gen Len | Rouge-1 | Rouge-2 | Rouge-l |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|
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| No log | 1.0 | 642 | 3.6377 | 22.68 | 23.5122 | 9.8274 | 22.6444 |
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| No log | 2.0 | 1284 | 3.4690 | 24.1111 | 26.1024 | 11.7671 | 25.2784 |
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| No log | 3.0 | 1926 | 3.2594 | 23.4756 | 30.4311 | 14.7772 | 29.7887 |
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| No log | 4.0 | 2568 | 3.2171 | 21.3644 | 33.2453 | 16.8783 | 32.3833 |
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| No log | 5.0 | 3210 | 3.1916 | 19.3667 | 33.1313 | 15.8622 | 32.4001 |
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| No log | 6.0 | 3852 | 3.1366 | 21.8133 | 32.3945 | 16.0472 | 31.6275 |
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| No log | 7.0 | 4494 | 3.1354 | 20.72 | 33.2417 | 16.5622 | 32.4859 |
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| 3.4117 | 8.0 | 5136 | 3.1412 | 19.2578 | 34.706 | 17.7827 | 33.877 |
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| 3.4117 | 9.0 | 5778 | 3.1538 | 18.1556 | 32.9258 | 17.2139 | 32.2229 |
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| 3.4117 | 10.0 | 6420 | 3.1681 | 19.1867 | 34.1901 | 17.269 | 33.3286 |
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| 3.4117 | 11.0 | 7062 | 3.1708 | 18.2978 | 34.4327 | 17.98 | 33.6562 |
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| 3.4117 | 12.0 | 7704 | 3.2042 | 18.5844 | 34.6893 | 17.6676 | 34.0228 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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added_tokens.json
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{
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"": 250027
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}
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all_results.json
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{
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"eval_steps_per_second": 0.728,
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"train_runtime": 2415.933,
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"train_samples": 5133,
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"train_samples_per_second": 106.232,
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"train_steps_per_second": 13.287
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}
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eval_results.json
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"eval_steps_per_second": 0.728
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}
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generated_predictions.csv
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predict_results.json
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prefix_tuning_par_bn_zwj/adapter_config.json
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{
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"config_id": "4524cf66398dd5c5",
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"hidden_size": 1024,
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prefix_tuning_par_bn_zwj/head_config.json
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prefix_tuning_par_bn_zwj/pytorch_adapter.bin
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prefix_tuning_par_bn_zwj/pytorch_model_head.bin
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prefix_tuning_par_bn_zwj_hiru/adapter_config.json
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