Training complete
Browse files- README.md +63 -0
- generation_config.json +11 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: facebook/mbart-large-50
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tags:
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- simplification
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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: mbart-neutralization
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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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# mbart-neutralization
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0220
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- Bleu: 98.2132
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- Gen Len: 18.5417
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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: 5.6e-05
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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: linear
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| No log | 1.0 | 440 | 0.0490 | 96.2659 | 19.0104 |
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| 0.2462 | 2.0 | 880 | 0.0220 | 98.2132 | 18.5417 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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generation_config.json
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{
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"early_stopping": true,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"max_length": 200,
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"num_beams": 5,
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"pad_token_id": 1,
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"transformers_version": "4.40.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 2444578688
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fcf37a910b0311b01f94b85ab2cb38ee289434f30d446d17932891b26406438
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size 2444578688
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