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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-v0.1-GPTQ
model-index:
- name: mistral-7b-nli_cot
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-nli_cot
This model is a fine-tuned version of [TheBloke/Mistral-7B-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-v0.1-GPTQ) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
## 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: 0.004
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 11
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.6298 | 0.9950 | 149 | 0.4956 |
| 0.4848 | 1.9967 | 299 | 0.4855 |
| 1.4397 | 2.9983 | 449 | 2.3408 |
| 1.4527 | 4.0 | 599 | 1.1570 |
| 1.0505 | 4.9950 | 748 | 1.0305 |
| 0.8713 | 5.9967 | 898 | 0.7930 |
| 0.7679 | 6.9983 | 1048 | 0.7487 |
| 0.7289 | 8.0 | 1198 | 0.7110 |
| 69.2312 | 8.9950 | 1347 | nan |
| 300.5902 | 9.9967 | 1497 | nan |
| 635.9469 | 10.9449 | 1639 | nan |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.0.1+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1 |