|
--- |
|
base_model: mistralai/Mistral-7B-Instruct-v0.3 |
|
datasets: |
|
- GaetanMichelet/chat-60_ft_task-2 |
|
- GaetanMichelet/chat-120_ft_task-2 |
|
- GaetanMichelet/chat-180_ft_task-2 |
|
library_name: peft |
|
license: apache-2.0 |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: Mistral-7B_task-2_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-2_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-2, the GaetanMichelet/chat-120_ft_task-2 and the GaetanMichelet/chat-180_ft_task-2 datasets. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5403 |
|
|
|
## 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 | |
|
|:-------------:|:-------:|:----:|:---------------:| |
|
| 0.8897 | 0.9412 | 8 | 0.8554 | |
|
| 0.6578 | 2.0 | 17 | 0.6425 | |
|
| 0.6205 | 2.9412 | 25 | 0.5954 | |
|
| 0.4973 | 4.0 | 34 | 0.5606 | |
|
| 0.4478 | 4.9412 | 42 | 0.5403 | |
|
| 0.3946 | 6.0 | 51 | 0.5509 | |
|
| 0.3109 | 6.9412 | 59 | 0.5958 | |
|
| 0.182 | 8.0 | 68 | 0.6716 | |
|
| 0.0682 | 8.9412 | 76 | 0.7787 | |
|
| 0.0461 | 10.0 | 85 | 0.9119 | |
|
| 0.03 | 10.9412 | 93 | 0.9896 | |
|
| 0.0116 | 12.0 | 102 | 1.0825 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.12.0 |
|
- Transformers 4.44.0 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
