metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: Falconsai/text_summarization
model-index:
- name: model
results: []
model
This model is a fine-tuned version of Falconsai/text_summarization on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2990
- Rouge1: 0.1186
- Rouge2: 0.0198
- Rougel: 0.094
- Rougelsum: 0.094
- Gen Len: 19.9958
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: 16
- 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 |
|---|---|---|---|---|---|---|---|---|
| 3.896 | 1.0 | 600 | 3.3871 | 0.1105 | 0.0171 | 0.0874 | 0.0874 | 20.0 |
| 3.6922 | 2.0 | 1200 | 3.3257 | 0.116 | 0.0196 | 0.0921 | 0.0921 | 20.0 |
| 3.6451 | 3.0 | 1800 | 3.3037 | 0.1189 | 0.0203 | 0.0947 | 0.0947 | 19.9972 |
| 3.6179 | 4.0 | 2400 | 3.2990 | 0.1186 | 0.0198 | 0.094 | 0.094 | 19.9958 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2