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LLM_Teached_Pegasus
GlycerinLOL/LLM_Teached_Pegasus
LLM_Teached_Pegasus is a machine learning model from GlycerinLOL. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- pegasus
- Access
- Public
- Created
- Dec 26, 2023
- Updated
- Dec 28, 2023
- SHA
- 9f7119a1
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. -->
LLM_Teached_Pegasus
This model is a fine-tuned version of google/pegasus-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6606
- Rouge1: 0.4557
- Rouge2: 0.2019
- Rougel: 0.3603
- Rougelsum: 0.3597
- Gen Len: 30.8509
- Precision: 0.9078
- Recall: 0.9053
- F1: 0.9064
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2.0887 | 1.0 | 625 | 1.7362 | 0.4326 | 0.1871 | 0.3375 | 0.3373 | 31.2482 | 0.9035 | 0.9015 | 0.9023 |
| 1.8362 | 2.0 | 1250 | 1.6844 | 0.4466 | 0.1942 | 0.3511 | 0.3507 | 30.3036 | 0.9071 | 0.9032 | 0.905 |
| 1.7784 | 3.0 | 1875 | 1.6666 | 0.451 | 0.1992 | 0.3554 | 0.3551 | 30.7991 | 0.907 | 0.9045 | 0.9056 |
| 1.7261 | 4.0 | 2500 | 1.6606 | 0.4557 | 0.2019 | 0.3603 | 0.3597 | 30.8509 | 0.9078 | 0.9053 | 0.9064 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0
- Library
- transformers
- Type
- pegasus
- Created
- Dec 26, 2023
- Updated
- Dec 28, 2023