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---
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: []
---
<!-- 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. -->
# 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 |