metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: amtibot_bart
results: []
library_name: peft
amtibot_bart
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5905
- Rouge1: 0.4051
- Rouge2: 0.195
- Rougel: 0.3054
- Rougelsum: 0.3053
- Gen Len: 65.7532
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: 0.02
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- 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 |
|---|---|---|---|---|---|---|---|---|
| No log | 0.9351 | 9 | 1.6594 | 0.4057 | 0.1833 | 0.3052 | 0.3048 | 67.9481 |
| 2.11 | 1.9740 | 19 | 1.6149 | 0.3938 | 0.192 | 0.3063 | 0.3058 | 64.8571 |
| 1.554 | 2.9091 | 28 | 1.5842 | 0.3956 | 0.1872 | 0.3039 | 0.3033 | 65.8182 |
| 1.3821 | 3.7403 | 36 | 1.5905 | 0.4051 | 0.195 | 0.3054 | 0.3053 | 65.7532 |
Framework versions
- PEFT 0.4.0
- Transformers 4.40.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1