File size: 1,913 Bytes
a2c3166 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-finetuned-10Epochs64Batch
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-finetuned-10Epochs64Batch
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: 0.6931
- Accuracy: 0.4993
## 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: 64
- eval_batch_size: 64
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6962 | 1.0 | 569 | 0.6931 | 0.5094 |
| 0.6969 | 2.0 | 1138 | 0.6931 | 0.5062 |
| 0.6959 | 3.0 | 1707 | 0.6931 | 0.5106 |
| 0.6959 | 4.0 | 2276 | 0.6931 | 0.4975 |
| 0.6948 | 5.0 | 2845 | 0.6931 | 0.5109 |
| 0.6944 | 6.0 | 3414 | 0.6931 | 0.4948 |
| 0.695 | 7.0 | 3983 | 0.6931 | 0.5092 |
| 0.694 | 8.0 | 4552 | 0.6931 | 0.5054 |
| 0.6941 | 9.0 | 5121 | 0.6931 | 0.4998 |
| 0.6944 | 10.0 | 5690 | 0.6931 | 0.4993 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
|