metadata
library_name: transformers
base_model: pilotj/distilbert-base-uncased-fibe-full-finetuned
tags:
- generated_from_trainer
model-index:
- name: distil-bert-tweaking
results: []
distil-bert-tweaking
This model is a fine-tuned version of pilotj/distilbert-base-uncased-fibe-full-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4871
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: 8e-05
- 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
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3542 | 0.1905 | 500 | 0.4708 |
| 0.418 | 0.3810 | 1000 | 0.4670 |
| 0.4303 | 0.5714 | 1500 | 0.4833 |
| 0.4404 | 0.7619 | 2000 | 0.5177 |
| 0.4589 | 0.9524 | 2500 | 0.5050 |
| 0.3911 | 1.1429 | 3000 | 0.5887 |
| 0.3654 | 1.3333 | 3500 | 0.5227 |
| 0.3415 | 1.5238 | 4000 | 0.5158 |
| 0.3284 | 1.7143 | 4500 | 0.5228 |
| 0.3178 | 1.9048 | 5000 | 0.4871 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1