commit_

README.md

@@ -1,60 +1 @@
----
-base_model: /data0/qyj/Mistral-7B-v0.3
-tags:
-- alignment-handbook
-- generated_from_trainer
-datasets:
-- /data1/qyj/ComplexInstruct/data/train_data/Long_data_N/forward_W_reverse_13k_FRICL_7.5_.75
-model-index:
-- name: forward_W_reverse_13k_FRICL_7.5_.75
-  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. -->
-
-# forward_W_reverse_13k_FRICL_7.5_.75
-
-This model is a fine-tuned version of [/data0/qyj/Mistral-7B-v0.3](https://huggingface.co//data0/qyj/Mistral-7B-v0.3) on the /data1/qyj/ComplexInstruct/data/train_data/Long_data_N/forward_W_reverse_13k_FRICL_7.5_.75 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: 5e-06
-- train_batch_size: 4
-- eval_batch_size: 4
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 8
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 256
-- total_eval_batch_size: 32
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 4
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.44.0
-- Pytorch 2.0.0
-- Datasets 2.21.0
-- Tokenizers 0.19.1
+license: apache-2.0