|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: falcon_spider_v1 |
|
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. --> |
|
|
|
# falcon_spider_v1 |
|
|
|
This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5862 |
|
The repo contains the adapters for the model, as well as the tokenizer files. |
|
## 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: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- lr_scheduler_warmup_ratio: 0.03 |
|
- training_steps: 100 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.1754 | 0.03 | 10 | 0.6316 | |
|
| 0.5011 | 0.05 | 20 | 0.4848 | |
|
| 0.4355 | 0.08 | 30 | 0.4586 | |
|
| 0.3921 | 0.1 | 40 | 0.4555 | |
|
| 0.3327 | 0.13 | 50 | 0.4674 | |
|
| 0.2662 | 0.15 | 60 | 0.4507 | |
|
| 0.2258 | 0.18 | 70 | 0.4813 | |
|
| 0.1569 | 0.2 | 80 | 0.5407 | |
|
| 0.1313 | 0.23 | 90 | 0.5924 | |
|
| 0.1215 | 0.25 | 100 | 0.5862 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.30.2 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
