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---
tags:
- generated_from_trainer
model-index:
- name: baseline
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. -->
# baseline
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6800
- Exact Match: 0.165
## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 2.1419 | 1.0 | 313 | 1.3197 | 0.01 |
| 1.1804 | 2.0 | 626 | 1.0833 | 0.023 |
| 0.8888 | 3.0 | 939 | 0.9529 | 0.062 |
| 0.7167 | 4.0 | 1252 | 0.9488 | 0.052 |
| 0.5985 | 5.0 | 1565 | 0.8626 | 0.09 |
| 0.514 | 6.0 | 1878 | 0.7982 | 0.115 |
| 0.439 | 7.0 | 2191 | 0.7420 | 0.144 |
| 0.3851 | 8.0 | 2504 | 0.6876 | 0.15 |
| 0.3434 | 9.0 | 2817 | 0.6794 | 0.178 |
| 0.3174 | 10.0 | 3130 | 0.6800 | 0.165 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Tokenizers 0.15.0
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