|
--- |
|
license: apache-2.0 |
|
base_model: tiiuae/falcon-40b |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: PointCon-falcon-40b-2 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# PointCon-falcon-40b-2 |
|
|
|
This model is a fine-tuned version of [tiiuae/falcon-40b](https://huggingface.co/tiiuae/falcon-40b) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.8131 |
|
|
|
## 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: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.9879 | 0.26 | 30 | 1.9850 | |
|
| 1.9725 | 0.53 | 60 | 1.9057 | |
|
| 1.8858 | 0.79 | 90 | 1.8573 | |
|
| 1.8604 | 1.05 | 120 | 1.8330 | |
|
| 1.7798 | 1.32 | 150 | 1.8250 | |
|
| 1.7554 | 1.58 | 180 | 1.8169 | |
|
| 1.7917 | 1.84 | 210 | 1.8127 | |
|
| 1.7538 | 2.11 | 240 | 1.8102 | |
|
| 1.6949 | 2.37 | 270 | 1.8133 | |
|
| 1.7112 | 2.63 | 300 | 1.8128 | |
|
| 1.7024 | 2.89 | 330 | 1.8131 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.0 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.14.1 |
|
|
