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---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: v1_1000_STEPS_1e6_SFT_SFT
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. -->
# v1_1000_STEPS_1e6_SFT_SFT
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2933
## 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3991 | 0.05 | 50 | 0.3739 |
| 0.3268 | 0.1 | 100 | 0.3451 |
| 0.3446 | 0.15 | 150 | 0.3264 |
| 0.3487 | 0.2 | 200 | 0.3183 |
| 0.3122 | 0.24 | 250 | 0.3140 |
| 0.3208 | 0.29 | 300 | 0.3103 |
| 0.307 | 0.34 | 350 | 0.3073 |
| 0.2965 | 0.39 | 400 | 0.3053 |
| 0.3101 | 0.44 | 450 | 0.3030 |
| 0.305 | 0.49 | 500 | 0.3001 |
| 0.2937 | 0.54 | 550 | 0.2985 |
| 0.3034 | 0.59 | 600 | 0.2967 |
| 0.2898 | 0.64 | 650 | 0.2953 |
| 0.282 | 0.68 | 700 | 0.2946 |
| 0.2846 | 0.73 | 750 | 0.2938 |
| 0.2969 | 0.78 | 800 | 0.2935 |
| 0.3073 | 0.83 | 850 | 0.2933 |
| 0.2792 | 0.88 | 900 | 0.2933 |
| 0.2837 | 0.93 | 950 | 0.2933 |
| 0.299 | 0.98 | 1000 | 0.2933 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2
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