metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: interview_classifier
results: []
interview_classifier
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2980
- Accuracy: 0.3679
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: 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 |
|---|---|---|---|---|
| No log | 1.0 | 152 | 2.5214 | 0.2263 |
| No log | 2.0 | 304 | 2.4518 | 0.2272 |
| No log | 3.0 | 456 | 2.3823 | 0.3004 |
| 2.461 | 4.0 | 608 | 2.3026 | 0.3432 |
| 2.461 | 5.0 | 760 | 2.2736 | 0.3531 |
| 2.461 | 6.0 | 912 | 2.2958 | 0.3490 |
| 1.7996 | 7.0 | 1064 | 2.2739 | 0.3671 |
| 1.7996 | 8.0 | 1216 | 2.2829 | 0.3737 |
| 1.7996 | 9.0 | 1368 | 2.2985 | 0.3638 |
| 1.3781 | 10.0 | 1520 | 2.2980 | 0.3679 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1