|
--- |
|
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 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# Mistral-7B_task-1_180-samples_config-2 |
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co./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: 1.1521 |
|
|
|
## 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 |
