Update README.md

README.md

@@ -1,29 +1,31 @@
----
-license: mit
----
-
-# MirrorAPI-Cache
-
-This model is a fine-tuned version of [StableToolBench-MirrorAPI](https://huggingface.co/stabletoolbench/MirrorAPI).
-
-## Training and evaluation data
-
-## Training procedure
-
-### 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
+---
+license: mit
+---
+
+# 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