End of training
Browse files- README.md +14 -8
- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
- training_args.bin +2 -2
README.md
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@@ -4,18 +4,18 @@ base_model: facebook/bart-base
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tags:
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- generated_from_trainer
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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:
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- eval_batch_size:
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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: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs:
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### Training results
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### Framework versions
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- Transformers 4.41.
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- Pytorch
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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tags:
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- generated_from_trainer
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model-index:
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- name: Bart_Complaint
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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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# Bart_Complaint
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1493
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## Model description
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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: 24
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- eval_batch_size: 24
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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: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.3009 | 1.0 | 212 | 0.2204 |
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| 0.2167 | 2.0 | 424 | 0.1964 |
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| 0.1449 | 3.0 | 636 | 0.1493 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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config.json
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.41.
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"use_cache": true,
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"vocab_size": 50265
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}
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.41.1",
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"use_cache": true,
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"vocab_size": 50265
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}
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generation_config.json
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"pad_token_id": 1,
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"transformers_version": "4.41.
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}
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"pad_token_id": 1,
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"transformers_version": "4.41.1"
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}
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model.safetensors
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training_args.bin
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