peft safetensors generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: 512_block_src_fm_fc_ms_ff_method2testcases_method2test-mistral-7B_v0
  results: []
---

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# 512_block_src_fm_fc_ms_ff_method2testcases_method2test-mistral-7B_v0

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1088

## 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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9983        | 0.0   | 100  | 1.1595          |
| 0.9435        | 0.0   | 200  | 1.1294          |
| 0.906         | 0.0   | 300  | 1.1200          |
| 0.8821        | 0.0   | 400  | 1.1183          |
| 0.8983        | 0.0   | 500  | 1.1131          |
| 0.8696        | 0.01  | 600  | 1.1222          |
| 0.8919        | 0.01  | 700  | 1.1163          |
| 0.8876        | 0.01  | 800  | 1.1043          |
| 0.8582        | 0.01  | 900  | 1.1071          |
| 0.8854        | 0.01  | 1000 | 1.1088          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2