Mistral-7B-0.3_auto
Collection
36 items
•
Updated
Mistral-7B_task-1_120-samples_config-1_auto
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the GaetanMichelet/chat-60_ft_task-1_auto and the GaetanMichelet/chat-120_ft_task-1_auto datasets. It achieves the following results on the evaluation set:
- Loss: 0.7996
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 |
|---|---|---|---|
| 1.0952 | 1.0 | 11 | 0.9500 |
| 0.738 | 2.0 | 22 | 0.8334 |
| 0.6322 | 3.0 | 33 | 0.7996 |
| 0.4414 | 4.0 | 44 | 0.8437 |
| 0.2493 | 5.0 | 55 | 0.9666 |
| 0.1348 | 6.0 | 66 | 1.2306 |
| 0.1156 | 7.0 | 77 | 1.2282 |
| 0.0976 | 8.0 | 88 | 1.3055 |
| 0.0519 | 9.0 | 99 | 1.2516 |
| 0.0399 | 10.0 | 110 | 1.3290 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 0
Model tree for GaetanMichelet/Mistral-7B_task-1_120-samples_config-1_auto
Base model
mistralai/Mistral-7B-v0.3
Finetuned
mistralai/Mistral-7B-Instruct-v0.3