metadata
license: apache-2.0
base_model: judy93536/distilroberta-base-reuters-bloomberg
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-reuters-bloomberg-ep30-ep20
results: []
distilroberta-base-reuters-bloomberg-ep30-ep20
This model is a fine-tuned version of judy93536/distilroberta-base-reuters-bloomberg on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2767
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: 7.2115e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.12
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3775 | 1.0 | 13905 | 1.3298 |
| 1.4586 | 2.0 | 27810 | 1.4049 |
| 1.5213 | 3.0 | 41715 | 1.4486 |
| 1.5175 | 4.0 | 55620 | 1.4431 |
| 1.5007 | 5.0 | 69525 | 1.4346 |
| 1.4875 | 6.0 | 83430 | 1.4237 |
| 1.4695 | 7.0 | 97335 | 1.4145 |
| 1.4625 | 8.0 | 111240 | 1.4062 |
| 1.4343 | 9.0 | 125145 | 1.3892 |
| 1.4276 | 10.0 | 139050 | 1.3822 |
| 1.4147 | 11.0 | 152955 | 1.3658 |
| 1.3914 | 12.0 | 166860 | 1.3549 |
| 1.3774 | 13.0 | 180765 | 1.3425 |
| 1.3691 | 14.0 | 194670 | 1.3323 |
| 1.3523 | 15.0 | 208575 | 1.3193 |
| 1.3354 | 16.0 | 222480 | 1.3098 |
| 1.3221 | 17.0 | 236385 | 1.2990 |
| 1.3083 | 18.0 | 250290 | 1.2885 |
| 1.3052 | 19.0 | 264195 | 1.2830 |
| 1.2818 | 20.0 | 278100 | 1.2793 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1