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--- |
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library_name: transformers |
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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_tech_keywords |
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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_tech_keywords |
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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: 0.8912 |
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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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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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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: 500 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.4049 | 0.4447 | 50 | 1.1729 | |
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| 1.1023 | 0.8894 | 100 | 1.0794 | |
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| 0.9659 | 1.3341 | 150 | 0.9492 | |
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| 0.9226 | 1.7788 | 200 | 0.8965 | |
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| 0.8488 | 2.2235 | 250 | 0.8998 | |
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| 0.8581 | 2.6681 | 300 | 0.8912 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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