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license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
- name: mixtral_id
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. -->
# mixtral_id
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7745
## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 230
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9422 | 0.15 | 20 | 0.8942 |
| 0.8488 | 0.3 | 40 | 0.8458 |
| 0.8208 | 0.46 | 60 | 0.8204 |
| 0.7981 | 0.61 | 80 | 0.8045 |
| 0.7912 | 0.76 | 100 | 0.7936 |
| 0.7789 | 0.91 | 120 | 0.7852 |
| 0.7289 | 1.07 | 140 | 0.7810 |
| 0.7277 | 1.22 | 160 | 0.7780 |
| 0.7112 | 1.37 | 180 | 0.7758 |
| 0.7142 | 1.52 | 200 | 0.7747 |
| 0.7222 | 1.68 | 220 | 0.7745 |
### Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0 |