End of training

README.md

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----
-license: mit
----
+---
+library_name: peft
+base_model: NousResearch/Llama-2-7b-hf
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: evaluation_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. -->
+
+# evaluation_model
+
+This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7124
+- Accuracy: 0.4667
+- Precision: 0.4577
+- Recall: 0.9559
+- F1: 0.6190
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 0.9829 | 43   | 0.9195          | 0.5467   | 0.0       | 0.0    | 0.0    |
+| No log        | 1.9943 | 87   | 0.6833          | 0.5667   | 0.5172    | 0.6618 | 0.5806 |
+| No log        | 2.9829 | 130  | 0.6898          | 0.5267   | 0.4884    | 0.9265 | 0.6396 |
+| 0.8708        | 3.9943 | 174  | 0.6775          | 0.5667   | 0.5149    | 0.7647 | 0.6154 |
+| 0.8708        | 4.9371 | 215  | 0.7124          | 0.4667   | 0.4577    | 0.9559 | 0.6190 |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_model.safetensors

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