metadata
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: mistral-7b-finetuned-lime
results: []
mistral-7b-finetuned-lime
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.6517
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- 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 |
|---|---|---|---|
| 1.3745 | 1.0 | 90 | 1.4860 |
| 0.8717 | 2.0 | 180 | 1.4783 |
| 0.3929 | 3.0 | 270 | 1.6517 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2