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Mixtral_Alpace_v2

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Mixtral_Alpace_v2 / README.md
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metadata
license: apache-2.0
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
  - name: Mixtral_Alpace_v2
    results: []

Mixtral_Alpace_v2

This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5741

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: 2.5e-05
  • 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: linear
  • lr_scheduler_warmup_steps: 0.03
  • training_steps: 100

Training results

Training Loss Epoch Step Validation Loss
No log 0.03 50 1.5982
1.5364 0.06 100 1.5741

Framework versions

  • PEFT 0.9.0
  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2