Training complete
Browse files
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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- summarization
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- generated_from_trainer
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model-index:
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- name: mbart-large-50-finetuned-latest
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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-large-50-finetuned-latest
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4403
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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: 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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- lr_scheduler_warmup_steps: 100
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- num_epochs: 8
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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 |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 4.7945 | 1.0 | 1320 | 2.9694 |
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| 2.5912 | 2.0 | 2640 | 2.5685 |
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| 2.0619 | 3.0 | 3960 | 2.5957 |
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| 1.6246 | 4.0 | 5280 | 2.6842 |
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| 1.2513 | 5.0 | 6600 | 2.8918 |
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| 0.9438 | 6.0 | 7920 | 3.1355 |
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| 0.714 | 7.0 | 9240 | 3.3191 |
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| 0.5617 | 8.0 | 10560 | 3.4403 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.2
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- Datasets 2.15.0
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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_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": "4.38.2"
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}
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runs/Apr05_16-42-30_af601ac574e8/events.out.tfevents.1712335352.af601ac574e8.34.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 9719
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