|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: mistralai/Mistral-7B-v0.1 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: Kimiko-Mistral-7B |
|
|
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. --> |
|
|
|
|
|
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
|
|
# Kimiko-Mistral-7B |
|
|
(I am going to retrain this, this model is a failure) |
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the Kimiko dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 2.1173 |
|
|
|
|
|
## Model description |
|
|
|
|
|
Same dataset as Kimiko-v2 but on new model. THIS IS NOT TRAIN ON V3 DATASET |
|
|
|
|
|
## Intended uses & limitations |
|
|
|
|
|
As a finetuning experiment on new 7B model. You can use this for roleplay or as an assistant |
|
|
|
|
|
# Prompt Template Structure |
|
|
``` |
|
|
This is a chat between ASSISTANT and USER |
|
|
USER: What is 4x8? |
|
|
ASSISTANT: |
|
|
|
|
|
``` |
|
|
|
|
|
|
|
|
### Training hyperparameters |
|
|
|
|
|
The following hyperparameters were used during training: |
|
|
- learning_rate: 0.00005 |
|
|
- train_batch_size: 4 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 16 |
|
|
- total_train_batch_size: 64 |
|
|
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05 |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_steps: 10 |
|
|
- num_epochs: 2 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 1.5675 | 0.47 | 25 | 2.1323 | |
|
|
| 1.4721 | 0.95 | 50 | 2.1209 | |
|
|
| 1.472 | 1.42 | 75 | 2.1177 | |
|
|
| 1.5445 | 1.9 | 100 | 2.1173 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.34.0.dev0 |
|
|
- Pytorch 2.0.1+cu118 |
|
|
- Datasets 2.14.5 |
|
|
- Tokenizers 0.14.0 |
|
|
|
