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---
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: output
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. -->
# output
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1962
- Memory Allocated (gb): 54.03
- Max Memory Allocated (gb): 54.47
- Total Memory Available (gb): 94.62
## 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: 128
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Allocated (gb) | Memory Allocated (gb) | Memory Available (gb) |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:---------------------:|:---------------------:|
| 0.2846 | 1.0 | 196 | 0.1962 | 54.03 | 54.47 | 94.62 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1a0+git4989238
- Datasets 2.19.1
- Tokenizers 0.19.1
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