metadata
base_model: Unbabel/TowerInstruct-7B-v0.2
library_name: peft
license: cc-by-nc-4.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: BioTowerInstruct-7b-v0.2-run09
results: []
BioTowerInstruct-7b-v0.2-run09
This model is a fine-tuned version of Unbabel/TowerInstruct-7B-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3265
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1703 | 0.08 | 30 | 2.0597 |
| 1.7574 | 0.16 | 60 | 1.8526 |
| 1.5809 | 0.24 | 90 | 1.7084 |
| 1.3437 | 0.32 | 120 | 1.5682 |
| 1.3627 | 0.4 | 150 | 1.5074 |
| 1.2534 | 0.48 | 180 | 1.4496 |
| 1.1732 | 0.56 | 210 | 1.4031 |
| 1.1735 | 0.64 | 240 | 1.3727 |
| 1.1581 | 0.72 | 270 | 1.3522 |
| 1.2024 | 0.8 | 300 | 1.3389 |
| 1.1346 | 0.88 | 330 | 1.3315 |
| 1.0714 | 0.96 | 360 | 1.3265 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1