metadata
license: apache-2.0
base_model: Falconsai/text_summarization
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: text_summarization_finetuned
results: []
text_summarization_finetuned
This model is a fine-tuned version of Falconsai/text_summarization on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2709
- Rouge1: 0.0876
- Rouge2: 0.0826
- Rougel: 0.0876
- Rougelsum: 0.0876
- Gen Len: 19.0
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.3375 | 1.0 | 4000 | 0.2961 | 0.0876 | 0.0826 | 0.0876 | 0.0876 | 19.0 |
| 0.3046 | 2.0 | 8000 | 0.2776 | 0.0876 | 0.0826 | 0.0876 | 0.0876 | 19.0 |
| 0.2929 | 3.0 | 12000 | 0.2726 | 0.0876 | 0.0826 | 0.0876 | 0.0876 | 19.0 |
| 0.2915 | 4.0 | 16000 | 0.2709 | 0.0876 | 0.0826 | 0.0876 | 0.0876 | 19.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0