End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.3
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: mistral-qlora_v2
+  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. -->
+
+# mistral-qlora_v2
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2705
+- Mean Token Accuracy: 0.6893
+- Num Tokens: 896294
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Mean Token Accuracy | Num Tokens |
+|:-------------:|:------:|:----:|:---------------:|:-------------------:|:----------:|
+| 1.4786        | 0.3077 | 8    | 1.3624          | 0.6773              | 896294     |
+| 1.3292        | 0.6154 | 16   | 1.3184          | 0.6833              | 896294     |
+| 1.3818        | 0.9231 | 24   | 1.2928          | 0.6865              | 896294     |
+| 1.2772        | 1.2308 | 32   | 1.2793          | 0.6878              | 896294     |
+| 1.3531        | 1.5385 | 40   | 1.2725          | 0.6890              | 896294     |
+| 1.2099        | 1.8462 | 48   | 1.2705          | 0.6893              | 896294     |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.2
+- Pytorch 2.8.0+cu126
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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