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---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- generated_from_trainer
model-index:
- name: Mistral_ET_1
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_ET_1
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: 0.7456
## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- 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: 50
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5079 | 0.41 | 100 | 1.6764 |
| 1.3602 | 0.82 | 200 | 1.1685 |
| 1.0132 | 1.23 | 300 | 0.9737 |
| 0.8592 | 1.65 | 400 | 0.8837 |
| 0.7742 | 2.06 | 500 | 0.8322 |
| 0.6621 | 2.47 | 600 | 0.7871 |
| 0.6402 | 2.88 | 700 | 0.7554 |
| 0.5713 | 3.29 | 800 | 0.7530 |
| 0.5468 | 3.7 | 900 | 0.7472 |
| 0.5542 | 4.12 | 1000 | 0.7456 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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