File size: 1,820 Bytes
0705243 |
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 |
---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: Bart_Complaint_V3
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_Complaint_V3
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1765
## 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: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3153 | 1.0 | 212 | 0.2400 |
| 0.2527 | 2.0 | 424 | 0.2025 |
| 0.1983 | 3.0 | 636 | 0.1864 |
| 0.1487 | 4.0 | 848 | 0.1765 |
| 0.1399 | 5.0 | 1060 | 0.1768 |
| 0.1169 | 6.0 | 1272 | 0.1841 |
| 0.0955 | 7.0 | 1484 | 0.1861 |
| 0.0835 | 8.0 | 1696 | 0.2001 |
| 0.0695 | 9.0 | 1908 | 0.2039 |
| 0.054 | 10.0 | 2120 | 0.2093 |
### Framework versions
- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
|