File size: 1,771 Bytes
edc6651 |
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 71 72 73 74 75 |
---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
datasets:
- stanfordnlp/snli
metrics:
- accuracy
model-index:
- name: bart-large-lora-2.36M-snli-model1
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: snli
type: stanfordnlp/snli
metrics:
- name: Accuracy
type: accuracy
value: 0.9081487502540134
---
<!-- 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-lora-2.36M-snli-model1
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the snli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2606
- Accuracy: 0.9081
## 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: 128
- eval_batch_size: 128
- seed: 94
- 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 | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3808 | 1.0 | 4292 | 0.2822 | 0.9012 |
| 0.3504 | 2.0 | 8584 | 0.2628 | 0.9055 |
| 0.3426 | 3.0 | 12876 | 0.2606 | 0.9081 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
|