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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: xsum-gpt2-long-pegasus |
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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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# xsum-gpt2-long-pegasus |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2524 |
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- Ppl: 26.6834 |
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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: 0.0005 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 22554 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 2000 |
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- num_epochs: 15 |
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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 | Ppl | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 3.7921 | 2.67 | 4000 | 3.6382 | 39.1940 | |
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| 3.4486 | 5.34 | 8000 | 3.4164 | 31.3953 | |
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| 3.299 | 8.01 | 12000 | 3.3291 | 28.7823 | |
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| 3.2019 | 10.68 | 16000 | 3.2769 | 27.3369 | |
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| 3.1403 | 13.36 | 20000 | 3.2524 | 26.6834 | |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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