metadata
library_name: transformers
license: mit
base_model: microsoft/xtremedistil-l6-h256-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: my_mind_classifier_XtremeDistil
results: []
my_mind_classifier_XtremeDistil
This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6416
- Accuracy: 0.8097
- Precision: 0.8043
- Recall: 0.8097
- F1: 0.8070
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.8188 | 1.0 | 9024 | 0.7572 | 0.7793 | 0.7733 | 0.7793 | 0.7763 |
| 0.7031 | 2.0 | 18048 | 0.6416 | 0.8097 | 0.8043 | 0.8097 | 0.8070 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0