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KushwanthK/mistral-7b-instruct-tune-500s
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metadata
license: apache-2.0
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
datasets:
  - generator
model-index:
  - name: mistral7b_instruct_generation
    results: []

mistral7b_instruct_generation

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8140

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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 0.03
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss
1.8937 0.0028 20 1.8344
1.8442 0.0056 40 1.8027
1.887 0.0084 60 1.7948
1.7711 0.0112 80 1.7884
1.7809 0.0140 100 1.7881
1.8632 0.0168 120 1.7957
1.8436 0.0196 140 1.8012
1.8959 0.0224 160 1.7860
1.8644 0.0252 180 1.7912
1.8285 0.0280 200 1.7884
1.8769 0.0307 220 1.7982
1.8726 0.0335 240 1.8046
1.8227 0.0363 260 1.7954
1.8554 0.0391 280 1.7927
1.9006 0.0419 300 1.7952
1.769 0.0447 320 1.8006
1.8014 0.0475 340 1.7895
1.8772 0.0503 360 1.7966
1.7403 0.0531 380 1.7988
1.8945 0.0559 400 1.7979
1.8937 0.0587 420 1.7987
1.9235 0.0615 440 1.8044
1.8496 0.0643 460 1.7951
1.8778 0.0671 480 1.7974
1.8681 0.0699 500 1.8140

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1