Chapterization_Mistral-7B-v0.2-Chat_0.1.1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the chapterization dataset.
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for MediaMeter/Chapterization_Mistral-7B-v0.2-Chat_0.1.1-adapters
Base model
mistralai/Mistral-7B-Instruct-v0.2