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 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