metadata
library_name: peft
tags:
- generated_from_trainer
base_model: openaccess-ai-collective/tiny-mistral
model-index:
- name: mistral-LLM-NER
results: []
mistral-LLM-NER
This model is a fine-tuned version of openaccess-ai-collective/tiny-mistral on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1446
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: 0.00025
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.9928 | 0.23 | 25 | 5.6978 |
| 3.9614 | 0.45 | 50 | 2.6379 |
| 2.3449 | 0.68 | 75 | 2.0141 |
| 1.9745 | 0.9 | 100 | 1.7486 |
| 1.7972 | 1.13 | 125 | 1.6622 |
| 1.5265 | 1.35 | 150 | 1.6077 |
| 1.3779 | 1.58 | 175 | 1.4895 |
| 1.2514 | 1.8 | 200 | 1.4698 |
| 1.3015 | 2.03 | 225 | 1.4646 |
| 1.1816 | 2.25 | 250 | 1.4042 |
| 1.0834 | 2.48 | 275 | 1.3628 |
| 1.2907 | 2.7 | 300 | 1.3486 |
| 1.4177 | 2.93 | 325 | 1.2939 |
| 1.1508 | 3.15 | 350 | 1.2380 |
| 0.9248 | 3.38 | 375 | 1.2098 |
| 1.0663 | 3.6 | 400 | 1.1924 |
| 1.0292 | 3.83 | 425 | 1.1797 |
| 0.9591 | 4.05 | 450 | 1.1630 |
| 0.837 | 4.28 | 475 | 1.1533 |
| 0.9954 | 4.5 | 500 | 1.1446 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2