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bart-finetuned-loaf-512-lyrictoplan
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README.md
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---
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license: apache-2.0
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base_model: facebook/bart-large
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tags:
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- generated_from_trainer
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model-index:
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- name: bart-finetuned-loaf-512-lyrictoplan
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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-finetuned-loaf-512-lyrictoplan
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8160
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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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.4176 | 0.45 | 500 | 1.1073 |
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| 1.1228 | 0.89 | 1000 | 0.9915 |
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| 0.9568 | 1.34 | 1500 | 0.9347 |
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| 0.888 | 1.78 | 2000 | 0.8795 |
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| 0.8179 | 2.23 | 2500 | 0.8774 |
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| 0.7929 | 2.67 | 3000 | 0.8551 |
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| 0.7256 | 3.12 | 3500 | 0.8213 |
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| 0.6979 | 3.56 | 4000 | 0.8160 |
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### Framework versions
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- Transformers 4.39.3
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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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generation_config.json
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{
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"_from_model_config": true,
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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_bos_token_id": 0,
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"forced_eos_token_id": 2,
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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": "4.39.3"
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}
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runs/Apr08_06-19-25_75b00f9d427b/events.out.tfevents.1712557165.75b00f9d427b.47708.0
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size
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size 10384
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