metadata
base_model: openaccess-ai-collective/tiny-mistral
library_name: peft
tags:
- generated_from_trainer
model-index:
- name: tiny-mistral-alpaca-finance
results: []
tiny-mistral-alpaca-finance
This model is a fine-tuned version of openaccess-ai-collective/tiny-mistral on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7193
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: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.314 | 0.2580 | 500 | 1.3183 |
| 1.1295 | 0.5160 | 1000 | 1.1272 |
| 0.9904 | 0.7739 | 1500 | 0.9971 |
| 0.7174 | 1.0319 | 2000 | 0.8927 |
| 0.6941 | 1.2899 | 2500 | 0.8219 |
| 0.6406 | 1.5479 | 3000 | 0.7606 |
| 0.6001 | 1.8059 | 3500 | 0.7193 |
Framework versions
- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1