metadata
base_model: mistralai/Mistral-7B-Instruct-v0.3
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-7B_task-1_180-samples_config-2
results: []
Mistral-7B_task-1_180-samples_config-2
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1511
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
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.053 | 0.9412 | 8 | 1.8890 |
| 1.3317 | 2.0 | 17 | 1.3413 |
| 1.1994 | 2.9412 | 25 | 1.2018 |
| 0.9607 | 4.0 | 34 | 1.1521 |
| 0.7457 | 4.9412 | 42 | 1.1807 |
| 0.5441 | 6.0 | 51 | 1.3877 |
| 0.262 | 6.9412 | 59 | 1.6165 |
| 0.1407 | 8.0 | 68 | 1.9110 |
| 0.0589 | 8.9412 | 76 | 1.9831 |
| 0.053 | 10.0 | 85 | 2.0235 |
| 0.0268 | 10.9412 | 93 | 2.1511 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1