metadata
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
- GaetanMichelet/chat-60_ft_task-3
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-7B_task-3_60-samples_config-1
results: []
Mistral-7B_task-3_60-samples_config-1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the GaetanMichelet/chat-60_ft_task-3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3692
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: 8
- total_train_batch_size: 8
- 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 |
|---|---|---|---|
| 3.5059 | 0.8696 | 5 | 2.7689 |
| 1.5063 | 1.9130 | 11 | 0.8907 |
| 0.5013 | 2.9565 | 17 | 0.4844 |
| 0.2965 | 4.0 | 23 | 0.3944 |
| 0.189 | 4.8696 | 28 | 0.3692 |
| 0.0884 | 5.9130 | 34 | 0.4647 |
| 0.0487 | 6.9565 | 40 | 0.6312 |
| 0.0415 | 8.0 | 46 | 0.7006 |
| 0.0096 | 8.8696 | 51 | 0.6515 |
| 0.0226 | 9.9130 | 57 | 0.8801 |
| 0.019 | 10.9565 | 63 | 0.6534 |
| 0.0075 | 12.0 | 69 | 0.6282 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1