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---
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-2_full
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-3_60-samples_config-2_full
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-3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8737
## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.2329 | 0.6957 | 2 | 1.2277 |
| 1.2254 | 1.7391 | 5 | 1.1423 |
| 1.0984 | 2.7826 | 8 | 1.0654 |
| 1.0266 | 3.8261 | 11 | 1.0052 |
| 0.948 | 4.8696 | 14 | 0.9384 |
| 0.884 | 5.9130 | 17 | 0.9020 |
| 0.8253 | 6.9565 | 20 | 0.8885 |
| 0.822 | 8.0 | 23 | 0.8788 |
| 0.7994 | 8.6957 | 25 | 0.8754 |
| 0.7669 | 9.7391 | 28 | 0.8737 |
| 0.7596 | 10.7826 | 31 | 0.8738 |
| 0.7256 | 11.8261 | 34 | 0.8750 |
| 0.6803 | 12.8696 | 37 | 0.8834 |
| 0.6584 | 13.9130 | 40 | 0.8951 |
| 0.6131 | 14.9565 | 43 | 0.9023 |
| 0.5777 | 16.0 | 46 | 0.9154 |
| 0.5158 | 16.6957 | 48 | 0.9439 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |