README.md

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license: mit
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# MirrorAPI-Cache

This model is a fine-tuned version of [StableToolBench-MirrorAPI](https://huggingface.co/stabletoolbench/MirrorAPI).

### Training and evaluation data

[The training data of MirrorAPI-Cache](https://huggingface.co/datasets/stabletoolbench/MirrorAPI/tree/main/train) is `train_cache.json`.

[The evaluation data of MirrorAPI-Cache](https://huggingface.co/datasets/stabletoolbench/MirrorAPI/tree/main/test) is `test_cache.json`.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 1
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 0
- num_epochs: 3.0