End of training
Browse files- README.md +61 -0
- generation_config.json +12 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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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: bart-base-finetuned
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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-base-finetuned
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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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- eval_loss: 1.8173
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- eval_rouge1: 47.6529
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- eval_rouge2: 30.9754
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- eval_rougeL: 44.3686
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- eval_rougeLsum: 44.4155
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- eval_gen_len: 18.2806
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- eval_runtime: 75.385
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- eval_samples_per_second: 21.224
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- eval_steps_per_second: 1.327
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- epoch: 7.0
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- step: 2800
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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: 2e-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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- 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: 20
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- mixed_precision_training: Native AMP
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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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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_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": "4.41.1"
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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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-
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size 557912620
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version https://git-lfs.github.com/spec/v1
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size 557912620
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