taronklm/Qwen2.5-0.5B-Instruct-chatbot

README.md

@@ -1,61 +1,60 @@
 ---
-base_model: Qwen/Qwen2.5-0.5B-Instruct
-datasets:
-- generator
-library_name: peft
+library_name: transformers
 license: apache-2.0
+base_model: Qwen/Qwen2.5-0.5B-Instruct
 tags:
 - trl
 - sft
 - generated_from_trainer
+datasets:
+- generator
 model-index:
 - name: trained_model
   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. -->
-
-# trained_model
-
-This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the generator 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: 0.0002
-- train_batch_size: 2
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 16
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 1
-- mixed_precision_training: Native AMP
-
-### Training results
-
-
-
-### Framework versions
-
-- PEFT 0.13.0
-- Transformers 4.45.1
-- Pytorch 2.5.1+cpu
-- Datasets 3.0.1
-- Tokenizers 0.20.0
+
+<!-- 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. -->
+
+# trained_model
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the generator 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.5.1+cpu
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

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training_args.bin

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