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---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: BARTModel_for_Ecommerce
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. -->
# BARTModel_for_Ecommerce
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: 0.6400
- Rouge1: 0.3515
- Rouge2: 0.2381
- Rougel: 0.3187
- Rougelsum: 0.3187
- Gen Len: 20.0
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 27 | 3.5206 | 0.3072 | 0.1595 | 0.26 | 0.26 | 20.0 |
| No log | 2.0 | 54 | 2.3786 | 0.3139 | 0.1747 | 0.268 | 0.2681 | 20.0 |
| No log | 3.0 | 81 | 1.8443 | 0.3328 | 0.2038 | 0.2924 | 0.2932 | 20.0 |
| No log | 4.0 | 108 | 1.4537 | 0.3276 | 0.2076 | 0.2887 | 0.2892 | 20.0 |
| No log | 5.0 | 135 | 1.1480 | 0.3301 | 0.212 | 0.292 | 0.2924 | 20.0 |
| No log | 6.0 | 162 | 0.9457 | 0.3465 | 0.2292 | 0.3084 | 0.3091 | 20.0 |
| No log | 7.0 | 189 | 0.8317 | 0.345 | 0.2253 | 0.3074 | 0.3078 | 20.0 |
| No log | 8.0 | 216 | 0.7544 | 0.3456 | 0.2293 | 0.3121 | 0.3124 | 20.0 |
| No log | 9.0 | 243 | 0.7076 | 0.3601 | 0.246 | 0.3278 | 0.3276 | 20.0 |
| No log | 10.0 | 270 | 0.6817 | 0.3464 | 0.2358 | 0.3139 | 0.3139 | 20.0 |
| No log | 11.0 | 297 | 0.6609 | 0.3586 | 0.2407 | 0.3235 | 0.3241 | 20.0 |
| No log | 12.0 | 324 | 0.6557 | 0.3563 | 0.2432 | 0.3226 | 0.3227 | 20.0 |
| No log | 13.0 | 351 | 0.6451 | 0.3511 | 0.238 | 0.3192 | 0.3195 | 20.0 |
| No log | 14.0 | 378 | 0.6430 | 0.3516 | 0.2385 | 0.3182 | 0.3183 | 20.0 |
| No log | 15.0 | 405 | 0.6400 | 0.3515 | 0.2381 | 0.3187 | 0.3187 | 20.0 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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