End of training

README.md

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+---
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
+model-index:
+- name: Mistral-Instruct-7B-v0.2-ChatAlpacaV2
+  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-Instruct-7B-v0.2-ChatAlpacaV2
+
+This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8225
+
+## 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: 4
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8873        | 0.2   | 120  | 0.8803          |
+| 0.8507        | 0.39  | 240  | 0.8559          |
+| 0.8502        | 0.59  | 360  | 0.8462          |
+| 0.8275        | 0.78  | 480  | 0.8406          |
+| 0.8452        | 0.98  | 600  | 0.8299          |
+| 0.8296        | 1.18  | 720  | 0.8259          |
+| 0.8243        | 1.37  | 840  | 0.8242          |
+| 0.8133        | 1.57  | 960  | 0.8232          |
+| 0.8265        | 1.76  | 1080 | 0.8227          |
+| 0.8194        | 1.96  | 1200 | 0.8225          |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.37.1
+- Pytorch 2.1.1+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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