sakshirokhade/shawgpt-ft

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runs/Aug04_10-58-58_80b032fdef09/events.out.tfevents.1722769139.80b032fdef09.351.0 +3 -0
training_args.bin +3 -0

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 ---
-library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-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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-## Uses
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-Use the code below to get started with the model.
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 ---
+base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
+library_name: peft
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: shawgpt-ft
+  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. -->
+# shawgpt-ft
+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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7303
+## 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: 10
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 4.5906        | 0.9231 | 3    | 3.9528          |
+| 4.0275        | 1.8462 | 6    | 3.4108          |
+| 3.4466        | 2.7692 | 9    | 2.9568          |
+| 2.2357        | 4.0    | 13   | 2.5238          |
+| 2.6249        | 4.9231 | 16   | 2.2682          |
+| 2.3003        | 5.8462 | 19   | 2.0746          |
+| 2.0542        | 6.7692 | 22   | 1.9026          |
+| 1.4272        | 8.0    | 26   | 1.7750          |
+| 1.8111        | 8.9231 | 29   | 1.7350          |
+| 1.2643        | 9.2308 | 30   | 1.7303          |
+### Framework versions
+- PEFT 0.12.0
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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