metadata
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
- GaetanMichelet/chat-60_ft_task-1
- GaetanMichelet/chat-120_ft_task-1
- GaetanMichelet/chat-180_ft_task-1
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-7B_task-1_180-samples_config-2_full
results: []
Mistral-7B_task-1_180-samples_config-2_full
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the GaetanMichelet/chat-60_ft_task-1, the GaetanMichelet/chat-120_ft_task-1 and the GaetanMichelet/chat-180_ft_task-1 datasets. It achieves the following results on the evaluation set:
- Loss: 0.9159
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 |
|---|---|---|---|
| 1.9695 | 0.9412 | 8 | 1.8462 |
| 1.4658 | 2.0 | 17 | 1.3229 |
| 1.0873 | 2.9412 | 25 | 1.0281 |
| 0.8963 | 4.0 | 34 | 0.9578 |
| 0.8173 | 4.9412 | 42 | 0.9242 |
| 0.7207 | 6.0 | 51 | 0.9159 |
| 0.5468 | 6.9412 | 59 | 0.9483 |
| 0.4071 | 8.0 | 68 | 1.0524 |
| 0.2885 | 8.9412 | 76 | 1.2125 |
| 0.2064 | 10.0 | 85 | 1.2909 |
| 0.1585 | 10.9412 | 93 | 1.3461 |
| 0.125 | 12.0 | 102 | 1.3770 |
| 0.1121 | 12.9412 | 110 | 1.4892 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1