ardasamet/shawgpt-ft

README.md

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 ---
 license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
+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: 1.8977
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 4.5918        | 0.92  | 3    | 3.9531          |
+| 4.0342        | 1.85  | 6    | 3.4187          |
+| 3.4573        | 2.77  | 9    | 2.9750          |
+| 2.2651        | 4.0   | 13   | 2.5798          |
+| 2.7052        | 4.92  | 16   | 2.3497          |
+| 2.4053        | 5.85  | 19   | 2.1773          |
+| 2.1965        | 6.77  | 22   | 2.0325          |
+| 1.5431        | 8.0   | 26   | 1.9541          |
+| 2.0077        | 8.92  | 29   | 1.9105          |
+| 1.3889        | 9.23  | 30   | 1.8977          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Mar11_18-53-05_0e4e9ed9ac7c/events.out.tfevents.1710183185.0e4e9ed9ac7c.1047.0

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training_args.bin

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