AmaanUsmani/Finetune-test4

README.md

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 ---
-library_name: transformers
-tags: []
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
+model-index:
+- name: Finetune-test4
+  results: []
 ---
 
-# Model Card for Model ID
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-<!-- Provide a quick summary of what the model is/does. -->
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-## Model Details
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-### Model Description
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+<!-- 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. -->
+
+# Finetune-test4
+
+This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1223
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.767         | 0.9956  | 56   | 0.5333          |
+| 0.4313        | 1.9911  | 112  | 0.4449          |
+| 0.3107        | 2.9867  | 168  | 0.4640          |
+| 0.2198        | 4.0     | 225  | 0.5196          |
+| 0.1633        | 4.9956  | 281  | 0.5811          |
+| 0.1209        | 5.9911  | 337  | 0.6468          |
+| 0.0944        | 6.9867  | 393  | 0.6891          |
+| 0.0745        | 8.0     | 450  | 0.7297          |
+| 0.064         | 8.9956  | 506  | 0.7844          |
+| 0.0557        | 9.9911  | 562  | 0.8384          |
+| 0.0489        | 10.9867 | 618  | 0.8632          |
+| 0.0433        | 12.0    | 675  | 0.9223          |
+| 0.0413        | 12.9956 | 731  | 0.9526          |
+| 0.0389        | 13.9911 | 787  | 0.9552          |
+| 0.0375        | 14.9867 | 843  | 1.0303          |
+| 0.0355        | 16.0    | 900  | 1.0489          |
+| 0.0355        | 16.9956 | 956  | 1.0804          |
+| 0.0347        | 17.9911 | 1012 | 1.0983          |
+| 0.0341        | 18.9867 | 1068 | 1.1147          |
+| 0.0328        | 19.9111 | 1120 | 1.1223          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.19.0
+- Tokenizers 0.19.1

training_args.bin

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