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---
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Terry-ft
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. -->
# Terry-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7287
## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.5921 | 0.8696 | 5 | 2.0205 |
| 1.5501 | 1.9130 | 11 | 1.4288 |
| 1.1411 | 2.9565 | 17 | 1.0682 |
| 0.8805 | 4.0 | 23 | 0.8740 |
| 0.8972 | 4.8696 | 28 | 0.8145 |
| 0.7032 | 5.9130 | 34 | 0.7677 |
| 0.6435 | 6.9565 | 40 | 0.7422 |
| 0.6246 | 8.0 | 46 | 0.7309 |
| 0.6399 | 8.6957 | 50 | 0.7287 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |