rishavranaut/Qwen_less_data_SUPNT

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: Qwen/Qwen2-7B
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: Qwen_less_data_SUPNT
+  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. -->
+
+# Qwen_less_data_SUPNT
+
+This model is a fine-tuned version of [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8747
+- Accuracy: 0.7567
+- Precision: 0.6860
+- Recall: 0.9467
+- F1 score: 0.7955
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
+| 0.6563        | 1.0   | 200  | 0.8186          | 0.7533   | 0.7209    | 0.8267 | 0.7702   |
+| 0.3346        | 2.0   | 400  | 0.9649          | 0.7      | 0.6351    | 0.94   | 0.7581   |
+| 0.2537        | 3.0   | 600  | 0.9052          | 0.7133   | 0.6468    | 0.94   | 0.7663   |
+| 0.1608        | 4.0   | 800  | 1.0086          | 0.7167   | 0.6484    | 0.9467 | 0.7696   |
+| 0.1159        | 5.0   | 1000 | 0.8747          | 0.7567   | 0.6860    | 0.9467 | 0.7955   |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.44.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.safetensors

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