Training complete
Browse files
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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- summarization
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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: bart-base-finetuned-findsum
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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-findsum
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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: 1.8402
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- Rouge1: 6.8778
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- Rouge2: 3.2689
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- Rougel: 6.1322
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- Rougelsum: 6.5067
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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: 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 results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| No log | 1.0 | 500 | 1.9816 | 6.8051 | 3.19 | 6.0519 | 6.4262 |
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| 2.2143 | 2.0 | 1000 | 1.8705 | 6.8637 | 3.2288 | 6.1205 | 6.4957 |
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| 2.2143 | 3.0 | 1500 | 1.8402 | 6.8778 | 3.2689 | 6.1322 | 6.5067 |
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### Framework versions
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- Transformers 4.38.1
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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": "4.38.1"
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}
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runs/Mar30_08-37-27_a8809679dde4/events.out.tfevents.1711787849.a8809679dde4.34.0
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size 7825
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runs/Mar30_08-37-27_a8809679dde4/events.out.tfevents.1711793060.a8809679dde4.34.1
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size 562
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