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---
library_name: transformers
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: results
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. -->
# results
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: 0.7266
## 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: 4
- eval_batch_size: 8
- seed: 42
- 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 0.8268 | 0.08 | 1000 | 0.7354 |
| 0.7977 | 0.16 | 2000 | 0.7251 |
| 0.7739 | 0.24 | 3000 | 0.7259 |
| 0.771 | 0.32 | 4000 | 0.7269 |
| 0.7468 | 0.4 | 5000 | 0.7269 |
| 0.751 | 0.48 | 6000 | 0.7501 |
| 0.7483 | 0.56 | 7000 | 0.7502 |
| 0.7443 | 0.64 | 8000 | 0.7253 |
| 0.7294 | 0.72 | 9000 | 0.7309 |
| 0.7309 | 0.8 | 10000 | 0.7260 |
| 0.7424 | 0.88 | 11000 | 0.7304 |
| 0.7348 | 0.96 | 12000 | 0.7276 |
| 0.7421 | 1.04 | 13000 | 0.7327 |
| 0.7333 | 1.12 | 14000 | 0.7417 |
| 0.7444 | 1.2 | 15000 | 0.7296 |
| 0.7463 | 1.28 | 16000 | 0.7257 |
| 0.7324 | 1.3600 | 17000 | 0.7253 |
| 0.7297 | 1.44 | 18000 | 0.7314 |
| 0.7358 | 1.52 | 19000 | 0.7253 |
| 0.7442 | 1.6 | 20000 | 0.7248 |
| 0.7384 | 1.6800 | 21000 | 0.7388 |
| 0.7345 | 1.76 | 22000 | 0.7259 |
| 0.7218 | 1.8400 | 23000 | 0.7284 |
| 0.7426 | 1.92 | 24000 | 0.7253 |
| 0.7375 | 2.0 | 25000 | 0.7389 |
| 0.7443 | 2.08 | 26000 | 0.7305 |
| 0.7286 | 2.16 | 27000 | 0.7258 |
| 0.7269 | 2.24 | 28000 | 0.7264 |
| 0.7391 | 2.32 | 29000 | 0.7270 |
| 0.7377 | 2.4 | 30000 | 0.7283 |
| 0.7319 | 2.48 | 31000 | 0.7329 |
| 0.7352 | 2.56 | 32000 | 0.7254 |
| 0.7141 | 2.64 | 33000 | 0.7285 |
| 0.7317 | 2.7200 | 34000 | 0.7253 |
| 0.7334 | 2.8 | 35000 | 0.7305 |
| 0.7332 | 2.88 | 36000 | 0.7282 |
| 0.7309 | 2.96 | 37000 | 0.7266 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1
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