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Kimiko-Mistral-7B

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mistral
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4-bit precision
bitsandbytes
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metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
  - generated_from_trainer
model-index:
  - name: Kimiko-Mistral-7B
    results: []

Built with 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 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