End of training
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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-base
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: test_sum_bart_base_model
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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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# test_sum_bart_base_model
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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: 0.7789
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- Rouge1: 0.4137
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- Rouge2: 0.3037
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- Rougel: 0.3749
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- Rougelsum: 0.3747
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- Gen Len: 19.9959
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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: 4
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 0.9855 | 1.0 | 1764 | 0.8474 | 0.4122 | 0.303 | 0.3726 | 0.3726 | 19.9908 |
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| 0.8409 | 2.0 | 3528 | 0.7938 | 0.4138 | 0.3044 | 0.3752 | 0.3751 | 19.9946 |
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| 0.7872 | 3.0 | 5292 | 0.7776 | 0.4174 | 0.308 | 0.3783 | 0.3782 | 19.9928 |
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| 0.7485 | 4.0 | 7056 | 0.7789 | 0.4137 | 0.3037 | 0.3749 | 0.3747 | 19.9959 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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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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"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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model.safetensors
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runs/Apr24_05-13-59_dfe184793e72/events.out.tfevents.1713935641.dfe184793e72.34.0
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