metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-fleece2instructions-codealpaca-r1
results: []
bart-base-fleece2instructions-codealpaca-r1
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0136
- Rouge1: 59.9513
- Rouge2: 33.9118
- Rougel: 55.7815
- Rougelsum: 56.9064
- Gen Len: 29.7146
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: 8e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.1165 | 1.0 | 281 | 1.1090 | 57.9239 | 31.9259 | 53.8737 | 54.9811 | 28.2924 |
| 1.0763 | 2.0 | 563 | 1.0267 | 59.9605 | 34.0298 | 55.7523 | 56.8021 | 29.6966 |
| 0.9595 | 2.99 | 843 | 1.0136 | 59.9513 | 33.9118 | 55.7815 | 56.9064 | 29.7146 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0.dev20230212+cu118
- Datasets 2.9.0
- Tokenizers 0.13.2