metadata
license: unknown
library_name: peft
tags:
- generated_from_trainer
base_model: tiiuae/falcon-11B
metrics:
- accuracy
model-index:
- name: news_classification
results: []
news_classification
This model is a fine-tuned version of tiiuae/falcon-11B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5745
- Balanced Accuracy: 0.2502
- Accuracy: 0.255
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|---|---|---|---|---|---|
| 1.9368 | 1.0 | 25 | 1.7709 | 0.2244 | 0.24 |
| 1.4906 | 2.0 | 50 | 1.6275 | 0.2489 | 0.26 |
| 1.2288 | 3.0 | 75 | 1.5745 | 0.2502 | 0.255 |
Framework versions
- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1