metadata
license: apache-2.0
base_model: tiiuae/falcon-7b
tags:
- generated_from_trainer
model-index:
- name: Falcon-CN
results: []
Falcon-CN
This model is a fine-tuned version of tiiuae/falcon-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2484
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: 0.0002
- 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
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5969 | 0.24 | 10 | 2.5105 |
| 2.332 | 0.49 | 20 | 2.4691 |
| 2.418 | 0.73 | 30 | 2.4289 |
| 2.4031 | 0.98 | 40 | 2.4040 |
| 2.3109 | 1.22 | 50 | 2.3807 |
| 2.3516 | 1.46 | 60 | 2.3600 |
| 2.2906 | 1.71 | 70 | 2.3406 |
| 2.3594 | 1.95 | 80 | 2.3265 |
| 2.2031 | 2.2 | 90 | 2.3151 |
| 2.25 | 2.44 | 100 | 2.3039 |
| 2.2148 | 2.68 | 110 | 2.2911 |
| 2.2594 | 2.93 | 120 | 2.2803 |
| 2.1844 | 3.17 | 130 | 2.2752 |
| 2.0914 | 3.41 | 140 | 2.2714 |
| 2.2008 | 3.66 | 150 | 2.2624 |
| 2.2109 | 3.9 | 160 | 2.2586 |
| 2.1648 | 4.15 | 170 | 2.2548 |
| 2.1484 | 4.39 | 180 | 2.2535 |
| 2.193 | 4.63 | 190 | 2.2484 |
| 2.1219 | 4.88 | 200 | 2.2484 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2