listener_task
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6937
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: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.065
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.6119 | 1.0 | 2420 | 1.2069 |
0.6636 | 2.0 | 4840 | 0.6664 |
0.4687 | 3.0 | 7260 | 0.6937 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.9.0
- Tokenizers 0.15.1
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Model tree for tutrinh/intention_listener_task
Base model
mistralai/Mistral-7B-Instruct-v0.2