metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: message-genre
results: []
message-genre
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: 1.5875
- Accuracy: 0.4339
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.06 | 100 | 1.8239 | 0.3638 |
| No log | 0.13 | 200 | 1.7266 | 0.3971 |
| No log | 0.19 | 300 | 1.6873 | 0.4040 |
| No log | 0.25 | 400 | 1.6609 | 0.4188 |
| 1.8118 | 0.32 | 500 | 1.6674 | 0.4048 |
| 1.8118 | 0.38 | 600 | 1.6381 | 0.4172 |
| 1.8118 | 0.45 | 700 | 1.6437 | 0.4156 |
| 1.8118 | 0.51 | 800 | 1.6378 | 0.4143 |
| 1.8118 | 0.57 | 900 | 1.6301 | 0.4214 |
| 1.6738 | 0.64 | 1000 | 1.6106 | 0.4320 |
| 1.6738 | 0.7 | 1100 | 1.6089 | 0.4259 |
| 1.6738 | 0.76 | 1200 | 1.5988 | 0.4299 |
| 1.6738 | 0.83 | 1300 | 1.5951 | 0.4347 |
| 1.6738 | 0.89 | 1400 | 1.5896 | 0.4320 |
| 1.6488 | 0.96 | 1500 | 1.5875 | 0.4339 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3