metadata
license: apache-2.0
base_model: BioMistral/BioMistral-7B
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: biomistral-7b-wo-kqa_golden-iter-sft-step1_gamma0
results: []
biomistral-7b-wo-kqa_golden-iter-sft-step1_gamma0
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: 2.2919
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8934 | 0.95 | 13 | 1.9087 |
| 0.9275 | 1.96 | 27 | 2.0545 |
| 0.4857 | 2.84 | 39 | 2.2919 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2