metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: BioMistral/BioMistral-7B
datasets:
- generator
metrics:
- f1
- accuracy
model-index:
- name: Medical-Finetune-BioMistral
results: []
Medical-Finetune-BioMistral
This model is a fine-tuned version of BioMistral/BioMistral-7B on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.9639
- F1: 0.0
- Accuracy: 0.0
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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| 0.7654 | 0.3436 | 100 | 2.8037 | 0.0 | 0.0 |
| 1.9543 | 0.6873 | 200 | 2.1952 | 0.0 | 0.0 |
| 1.9931 | 1.0309 | 300 | 2.1921 | 0.0143 | 0.0143 |
| 1.3308 | 1.3746 | 400 | 2.2393 | 0.0 | 0.0 |
| 1.4068 | 1.7182 | 500 | 2.2237 | 0.0 | 0.0 |
| 1.2879 | 2.0619 | 600 | 2.4974 | 0.0 | 0.0 |
| 0.7795 | 2.4055 | 700 | 2.3918 | 0.0 | 0.0 |
| 0.8464 | 2.7491 | 800 | 2.4622 | 0.0143 | 0.0143 |
| 0.7941 | 3.0928 | 900 | 2.6181 | 0.0 | 0.0 |
| 0.4868 | 3.4364 | 1000 | 2.6465 | 0.0 | 0.0 |
| 0.5224 | 3.7801 | 1100 | 2.6711 | 0.0 | 0.0 |
| 0.5074 | 4.1237 | 1200 | 2.8354 | 0.0 | 0.0 |
| 0.3309 | 4.4674 | 1300 | 2.8183 | 0.0 | 0.0 |
| 0.3761 | 4.8110 | 1400 | 2.8540 | 0.0 | 0.0 |
| 0.3173 | 5.1546 | 1500 | 2.9639 | 0.0 | 0.0 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1