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---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: old_bert_pytranscripts
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. -->
# old_bert_pytranscripts
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co./distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9884
- Accuracy: 0.3333
## 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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 54 | 2.2727 | 0.1481 |
| No log | 2.0 | 108 | 2.2323 | 0.1852 |
| No log | 3.0 | 162 | 2.1763 | 0.2222 |
| No log | 4.0 | 216 | 2.1122 | 0.1852 |
| No log | 5.0 | 270 | 2.0832 | 0.2593 |
| No log | 6.0 | 324 | 2.0456 | 0.2593 |
| No log | 7.0 | 378 | 2.0264 | 0.2593 |
| No log | 8.0 | 432 | 2.0041 | 0.3333 |
| No log | 9.0 | 486 | 1.9960 | 0.2963 |
| 1.8646 | 10.0 | 540 | 1.9884 | 0.3333 |
### Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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