File size: 1,850 Bytes
2c01d16 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: facebook/bart-large
metrics:
- rouge
model-index:
- name: bart-large-oposum2
results: []
---
<!-- 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. -->
# bart-large-oposum2
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2051
- Rouge1: 0.6185
- Rouge2: 0.6021
- Rougel: 0.6157
- Rougelsum: 0.6157
- Gen Len: 18.932
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 0.9984 | 156 | 3.5332 | 0.5855 | 0.5682 | 0.5823 | 0.5824 | 22.576 |
| No log | 1.9968 | 312 | 3.2461 | 0.6109 | 0.5946 | 0.6084 | 0.6083 | 19.284 |
| No log | 2.9952 | 468 | 3.2051 | 0.6185 | 0.6021 | 0.6157 | 0.6157 | 18.932 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |