Update README.md

README.md

@@ -1,66 +1,66 @@
----
-license: other
-base_model: Qwen1.5-0.5B
-tags:
-- llama-factory
-- full
-- generated_from_trainer
-model-index:
-- name: train_2024-03-31-14-36-00-superzj
-  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. -->
-
-# train_2024-03-31-14-36-00-superzj
-
-This model is a fine-tuned version of [Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B) on the superzj 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-05
-- train_batch_size: 4
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 32
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- num_epochs: 10.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.38.2
-
-- Pytorch 1.13.1+cu116
-
-- Datasets 2.14.6
-
-- Tokenizers 0.15.2
-
-  ```
-  全量微调，使用语料来自小说--重生之超级战舰
-  Fully fine-tuned, using corpus from the novel - Rebirth of the Super Battleship
-  ```
-
-  
+---
+license: other
+base_model: Qwen1.5-0.5B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: train_2024-03-31-14-36-00-superzj
+  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. -->
+
+# train_2024-03-31-14-36-00-superzj
+
+This model is a fine-tuned version of [Qwen1.5-0.5B](https://huggingface.co/Terminator-of-AI/Qwen1.5-0.5B-finetuning-by-super-battleship) on the superzj 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-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 10.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.38.2
+
+- Pytorch 1.13.1+cu116
+
+- Datasets 2.14.6
+
+- Tokenizers 0.15.2
+
+  ```
+  全量微调，使用语料来自小说--重生之超级战舰
+  Fully fine-tuned, using corpus from the novel - Rebirth of the Super Battleship
+  ```
+
+