Model save

README.md

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+---
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+library_name: peft
+license: apache-2.0
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: results_3
+  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. -->
+
+# results_3
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4783
+
+## 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: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.5669        | 0.7143 | 5    | 1.9836          |
+| 1.7321        | 1.4286 | 10   | 1.5707          |
+| 1.2965        | 2.1429 | 15   | 1.3547          |
+| 1.027         | 2.8571 | 20   | 1.3522          |
+| 0.7281        | 3.5714 | 25   | 1.3416          |
+| 0.7364        | 4.2857 | 30   | 1.3577          |
+| 0.7055        | 5.0    | 35   | 1.4064          |
+| 0.5305        | 5.7143 | 40   | 1.4535          |
+| 0.56          | 6.4286 | 45   | 1.4710          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

runs/Oct16_11-44-34_d9f5316ef086/events.out.tfevents.1729079380.d9f5316ef086.9667.1

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