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---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-pp-1000-1e-06-8
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. -->
# bert-base-uncased-pp-1000-1e-06-8
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6942
## 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: 1e-06
- train_batch_size: 32
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 32 | 0.7053 |
| No log | 2.0 | 64 | 0.7014 |
| No log | 3.0 | 96 | 0.6994 |
| No log | 4.0 | 128 | 0.6983 |
| No log | 5.0 | 160 | 0.6972 |
| No log | 6.0 | 192 | 0.6967 |
| 0.6995 | 7.0 | 224 | 0.6959 |
| 0.6995 | 8.0 | 256 | 0.6955 |
| 0.6995 | 9.0 | 288 | 0.6953 |
| 0.6995 | 10.0 | 320 | 0.6951 |
| 0.6995 | 11.0 | 352 | 0.6949 |
| 0.6995 | 12.0 | 384 | 0.6948 |
| 0.69 | 13.0 | 416 | 0.6946 |
| 0.69 | 14.0 | 448 | 0.6945 |
| 0.69 | 15.0 | 480 | 0.6945 |
| 0.69 | 16.0 | 512 | 0.6944 |
| 0.69 | 17.0 | 544 | 0.6943 |
| 0.69 | 18.0 | 576 | 0.6942 |
| 0.6839 | 19.0 | 608 | 0.6943 |
| 0.6839 | 20.0 | 640 | 0.6943 |
| 0.6839 | 21.0 | 672 | 0.6943 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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