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license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bert_C_2
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_C_2
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6722.5049
- Mae: 52.1614
## 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: 2.5e-05
- train_batch_size: 72
- eval_batch_size: 72
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Mae |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log | 1.0 | 51 | 8283.7012 | 62.4105 |
| No log | 2.0 | 102 | 7761.8237 | 58.8175 |
| No log | 3.0 | 153 | 7552.2861 | 57.4051 |
| No log | 4.0 | 204 | 7422.1416 | 56.5480 |
| No log | 5.0 | 255 | 7319.2437 | 55.8786 |
| No log | 6.0 | 306 | 7231.1514 | 55.3173 |
| No log | 7.0 | 357 | 7153.9229 | 54.8313 |
| No log | 8.0 | 408 | 7085.3296 | 54.4032 |
| No log | 9.0 | 459 | 7023.9609 | 54.0201 |
| 8468.761 | 10.0 | 510 | 6969.4009 | 53.6830 |
| 8468.761 | 11.0 | 561 | 6920.9131 | 53.3808 |
| 8468.761 | 12.0 | 612 | 6878.1675 | 53.1132 |
| 8468.761 | 13.0 | 663 | 6841.0210 | 52.8787 |
| 8468.761 | 14.0 | 714 | 6809.2080 | 52.6846 |
| 8468.761 | 15.0 | 765 | 6782.4966 | 52.5224 |
| 8468.761 | 16.0 | 816 | 6760.8091 | 52.3901 |
| 8468.761 | 17.0 | 867 | 6744.0356 | 52.2873 |
| 8468.761 | 18.0 | 918 | 6732.0830 | 52.2164 |
| 8468.761 | 19.0 | 969 | 6724.9185 | 52.1753 |
| 7734.004 | 20.0 | 1020 | 6722.5049 | 52.1614 |
### Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
|