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--- |
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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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- text2text-generation |
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- generated_from_trainer |
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metrics: |
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- sacrebleu |
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model-index: |
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- name: model_v3_v2 |
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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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# model_v3_v2 |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5669 |
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- Sacrebleu: 66.8302 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:| |
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| No log | 0.99 | 54 | 0.6545 | 66.3234 | |
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| No log | 1.99 | 109 | 0.5940 | 66.8342 | |
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| No log | 2.96 | 162 | 0.5669 | 66.8302 | |
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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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