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LLM_Teached_Bart_FromScratch
GlycerinLOL/LLM_Teached_Bart_FromScratch
LLM_Teached_Bart_FromScratch 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
- bart
- Access
- Public
- Created
- Dec 14, 2023
- Updated
- Dec 14, 2023
- SHA
- ae8409cc
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_Bart_FromScratch
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7504
- Rouge1: 0.3746
- Rouge2: 0.1776
- Rougel: 0.3165
- Rougelsum: 0.3164
- Gen Len: 19.9727
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: 16
- eval_batch_size: 8
- seed: 42
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.0692 | 1.0 | 625 | 1.7369 | 0.3826 | 0.1796 | 0.3166 | 0.3164 | 19.9691 |
| 0.9466 | 2.0 | 1250 | 1.7602 | 0.3738 | 0.1772 | 0.3142 | 0.3143 | 20.0 |
| 0.8898 | 3.0 | 1875 | 1.7657 | 0.3778 | 0.1751 | 0.3156 | 0.3157 | 19.9727 |
| 0.8871 | 4.0 | 2500 | 1.7504 | 0.3746 | 0.1776 | 0.3165 | 0.3164 | 19.9727 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0
- Library
- transformers
- Type
- bart
- Created
- Dec 14, 2023
- Updated
- Dec 14, 2023