rm README.md

README.md

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----
-library_name: transformers
-license: other
-base_model: /data/AIR_HF_CACHE/hub/models--meta-llama--Meta-Llama-3.1-8B-Instruct/snapshots/8c22764a7e3675c50d4c7c9a4edb474456022b16
-tags:
-- llama-factory
-- full
-- generated_from_trainer
-model-index:
-- name: droidv2_data_verified_merge_no_data_aug_v2_epoch1_llama3.1-8b
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# droidv2_data_verified_merge_no_data_aug_v2_epoch1_llama3.1-8b
-
-This model is a fine-tuned version of [/data/AIR_HF_CACHE/hub/models--meta-llama--Meta-Llama-3.1-8B-Instruct/snapshots/8c22764a7e3675c50d4c7c9a4edb474456022b16](https://huggingface.co//data/AIR_HF_CACHE/hub/models--meta-llama--Meta-Llama-3.1-8B-Instruct/snapshots/8c22764a7e3675c50d4c7c9a4edb474456022b16) on the autodroid 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: 1e-05
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 4
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 32
-- total_eval_batch_size: 4
-- optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_ratio: 0.01
-- num_epochs: 1.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.46.1
-- Pytorch 2.4.0+cu118
-- Datasets 3.0.0
-- Tokenizers 0.20.3

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "meta-llama/Meta-Llama-3.1-8B-Instruct",
+  "_name_or_path": "AutoDroid-V2",
   "architectures": [
     "LlamaForCausalLM"
   ],