shortstep_test
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the zeta-labs/mind2web_combined_236_18_01 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3442
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 5
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
unsloth/mistral-7b