metadata
library_name: transformers
base_model: pilotj/distilbert-base-uncased-fibe-v8-finetuned
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-fibe-v9-finetuned
results: []
distilbert-base-uncased-fibe-v9-finetuned
This model is a fine-tuned version of pilotj/distilbert-base-uncased-fibe-v8-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8968
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5704 | 0.0779 | 1000 | 1.0604 |
| 0.5614 | 0.1558 | 2000 | 1.1759 |
| 0.5481 | 0.2338 | 3000 | 1.0633 |
| 0.5417 | 0.3117 | 4000 | 1.0108 |
| 0.5257 | 0.3896 | 5000 | 0.9514 |
| 0.5106 | 0.4675 | 6000 | 0.9228 |
| 0.492 | 0.5455 | 7000 | 0.9493 |
| 0.5033 | 0.6234 | 8000 | 0.9060 |
| 0.4688 | 0.7013 | 9000 | 0.8691 |
| 0.483 | 0.7792 | 10000 | 0.8291 |
| 0.4679 | 0.8572 | 11000 | 0.8628 |
| 0.4368 | 0.9351 | 12000 | 0.8968 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1