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gpt2-medium-supervised-summarize-checkpoint
li-jay-cs/gpt2-medium-supervised-summarize-checkpoint
gpt2-medium-supervised-summarize-checkpoint is a text generation model from li-jay-cs. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Nov 24, 2023
- Updated
- Dec 27, 2023
- SHA
- 3e89b42b
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
gpt2-medium-supervised-summarize-checkpoint
This model is a fine-tuned version of gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7422
- Rouge1: 0.6035
- Rouge2: 0.2047
- Rougel: 0.4141
- Rougelsum: 0.5319
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 50
- eval_batch_size: 50
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.859 | 0.21 | 500 | 1.8105 | 0.5966 | 0.1961 | 0.4025 | 0.5237 |
| 1.852 | 0.43 | 1000 | 1.7900 | 0.5994 | 0.1981 | 0.4061 | 0.5271 |
| 1.8189 | 0.64 | 1500 | 1.7764 | 0.6000 | 0.2005 | 0.4082 | 0.5276 |
| 1.8191 | 0.86 | 2000 | 1.7695 | 0.6013 | 0.2009 | 0.4096 | 0.5290 |
| 1.7969 | 1.07 | 2500 | 1.7617 | 0.6038 | 0.2020 | 0.4108 | 0.5311 |
| 1.7967 | 1.28 | 3000 | 1.7578 | 0.6024 | 0.2024 | 0.4114 | 0.5304 |
| 1.7813 | 1.5 | 3500 | 1.7520 | 0.6038 | 0.2039 | 0.4128 | 0.5320 |
| 1.7704 | 1.71 | 4000 | 1.7480 | 0.6033 | 0.2045 | 0.4132 | 0.5310 |
| 1.7852 | 1.93 | 4500 | 1.7422 | 0.6035 | 0.2047 | 0.4141 | 0.5319 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Nov 24, 2023
- Updated
- Dec 27, 2023