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---
base_model: mistralai/Mistral-7B-Instruct-v0.3
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-7B_task-1_180-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-1_180-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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4892
## 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 |