End of training
Browse files- README.md +13 -11
- config.json +1 -1
- model.safetensors +1 -1
- runs/Jun24_07-47-52_9b938ea75028/events.out.tfevents.1719215272.9b938ea75028.1492.0 +3 -0
- runs/Jun24_07-49-57_9b938ea75028/events.out.tfevents.1719215397.9b938ea75028.1492.1 +3 -0
- tokenizer.json +1 -0
- tokenizer_config.json +1 -1
- training_args.bin +2 -2
README.md
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- F1: 0.
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- Exact Match: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 16
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- eval_batch_size: 16
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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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- num_epochs: 3
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| Training Loss | Epoch | Step | Validation Loss | F1 | Exact Match |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Datasets 2.
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- Tokenizers 0.
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1988
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- F1: 0.7649
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- Exact Match: 0.634
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3.7185140364032e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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: 3
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| Training Loss | Epoch | Step | Validation Loss | F1 | Exact Match |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|
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| 0.8014 | 1.0 | 125 | 1.3209 | 0.7185 | 0.579 |
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| 0.9114 | 2.0 | 250 | 1.1532 | 0.7515 | 0.623 |
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| 0.6644 | 3.0 | 375 | 1.1988 | 0.7649 | 0.634 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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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.
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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": "4.41.2",
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"use_cache": true,
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"vocab_size": 50265
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}
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model.safetensors
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runs/Jun24_07-47-52_9b938ea75028/events.out.tfevents.1719215272.9b938ea75028.1492.0
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runs/Jun24_07-49-57_9b938ea75028/events.out.tfevents.1719215397.9b938ea75028.1492.1
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tokenizer.json
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"end_of_word_suffix": "",
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"fuse_unk": false,
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"byte_fallback": false,
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"vocab": {
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"<s>": 0,
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"<pad>": 1,
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"end_of_word_suffix": "",
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"fuse_unk": false,
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"byte_fallback": false,
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"ignore_merges": false,
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"vocab": {
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tokenizer_config.json
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length":
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "BartTokenizer",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "BartTokenizer",
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training_args.bin
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