---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: MT_Complaint
  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. -->

# MT_Complaint

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: 0.4773

## 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: 32
- eval_batch_size: 32
- 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: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4907        | 1.0   | 151  | 0.3250          |
| 0.2887        | 2.0   | 302  | 0.2513          |
| 0.2371        | 3.0   | 453  | 0.2255          |
| 0.1945        | 4.0   | 604  | 0.2192          |
| 0.1683        | 5.0   | 755  | 0.2119          |
| 0.1461        | 6.0   | 906  | 0.2207          |
| 0.1143        | 7.0   | 1057 | 0.2182          |
| 0.1011        | 8.0   | 1208 | 0.2421          |
| 0.0818        | 9.0   | 1359 | 0.2476          |
| 0.0799        | 10.0  | 1510 | 0.2660          |
| 0.0757        | 11.0  | 1661 | 0.2661          |
| 0.0619        | 12.0  | 1812 | 0.2687          |
| 0.0517        | 13.0  | 1963 | 0.2939          |
| 0.0468        | 14.0  | 2114 | 0.3191          |
| 0.0352        | 15.0  | 2265 | 0.3343          |
| 0.0382        | 16.0  | 2416 | 0.3369          |
| 0.022         | 17.0  | 2567 | 0.3442          |
| 0.017         | 18.0  | 2718 | 0.3532          |
| 0.0286        | 19.0  | 2869 | 0.3594          |
| 0.0178        | 20.0  | 3020 | 0.3793          |
| 0.017         | 21.0  | 3171 | 0.3976          |
| 0.0127        | 22.0  | 3322 | 0.4029          |
| 0.0136        | 23.0  | 3473 | 0.4038          |
| 0.0124        | 24.0  | 3624 | 0.4045          |
| 0.0089        | 25.0  | 3775 | 0.3999          |
| 0.0108        | 26.0  | 3926 | 0.4103          |
| 0.0141        | 27.0  | 4077 | 0.4106          |
| 0.0126        | 28.0  | 4228 | 0.4197          |
| 0.0071        | 29.0  | 4379 | 0.4409          |
| 0.0046        | 30.0  | 4530 | 0.4240          |
| 0.0075        | 31.0  | 4681 | 0.4384          |
| 0.0061        | 32.0  | 4832 | 0.4313          |
| 0.0093        | 33.0  | 4983 | 0.4534          |
| 0.0066        | 34.0  | 5134 | 0.4499          |
| 0.0028        | 35.0  | 5285 | 0.4574          |
| 0.0034        | 36.0  | 5436 | 0.4615          |
| 0.0031        | 37.0  | 5587 | 0.4636          |
| 0.0047        | 38.0  | 5738 | 0.4728          |
| 0.0021        | 39.0  | 5889 | 0.4639          |
| 0.0027        | 40.0  | 6040 | 0.4658          |
| 0.0035        | 41.0  | 6191 | 0.4755          |
| 0.0032        | 42.0  | 6342 | 0.4589          |
| 0.0027        | 43.0  | 6493 | 0.4628          |
| 0.0018        | 44.0  | 6644 | 0.4762          |
| 0.0017        | 45.0  | 6795 | 0.4697          |
| 0.0012        | 46.0  | 6946 | 0.4762          |
| 0.0022        | 47.0  | 7097 | 0.4830          |
| 0.0013        | 48.0  | 7248 | 0.4765          |
| 0.0013        | 49.0  | 7399 | 0.4759          |
| 0.0014        | 50.0  | 7550 | 0.4773          |


### Framework versions

- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1