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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: Project5_V3_Mistral7b_V2.1
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. -->
# Project5_V3_Mistral7b_V2.1
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3036
## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 0.8 | 1 | 2.3482 |
| No log | 1.6 | 2 | 2.3439 |
| No log | 2.4 | 3 | 2.3386 |
| 2.3422 | 4.0 | 5 | 2.3264 |
| 2.3422 | 4.8 | 6 | 2.3212 |
| 2.3422 | 5.6 | 7 | 2.3166 |
| 2.3422 | 6.4 | 8 | 2.3126 |
| 2.3191 | 8.0 | 10 | 2.3072 |
| 2.3191 | 8.8 | 11 | 2.3055 |
| 2.3191 | 9.6 | 12 | 2.3045 |
| 2.3191 | 10.4 | 13 | 2.3039 |
| 2.3082 | 12.0 | 15 | 2.3036 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1 |