metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- generated_from_trainer
model-index:
- name: Mistral-7B-Instruct-v0.1-LC16k-PI
results: []
Mistral-7B-Instruct-v0.1-LC16k-PI
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6455
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- 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: 30
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6742 | 0.12 | 100 | 1.6880 |
| 1.6683 | 0.24 | 200 | 1.6711 |
| 1.7301 | 0.36 | 300 | 1.6636 |
| 1.6867 | 0.47 | 400 | 1.6588 |
| 1.4718 | 0.59 | 500 | 1.6557 |
| 1.6843 | 0.71 | 600 | 1.6519 |
| 1.5966 | 0.83 | 700 | 1.6492 |
| 1.9016 | 0.95 | 800 | 1.6472 |
| 1.7488 | 1.07 | 900 | 1.6461 |
| 1.5596 | 1.19 | 1000 | 1.6455 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1