Mistral-Finetuned-DialogSumm
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the DialogSumm dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
The DialogSumm dataset was used to train the model.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 250
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for Villian7/Mistral-Finetuned-DialogSumm
Base model
mistralai/Mistral-7B-v0.1 Finetuned
mistralai/Mistral-7B-Instruct-v0.1 Quantized
TheBloke/Mistral-7B-Instruct-v0.1-GPTQ