Farisya/ft-usermanual

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runs/Mar14_03-02-31_9f5d031262bf/events.out.tfevents.1710385362.9f5d031262bf.34.0 +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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 ---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
+model-index:
+- name: ft-usermanual
+  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. -->
+# ft-usermanual
+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: 2.9086
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 6.1167        | 0.67  | 1    | 3.8820          |
+| 3.004         | 2.0   | 3    | 3.6082          |
+| 5.5234        | 2.67  | 4    | 3.4297          |
+| 2.5899        | 4.0   | 6    | 3.1544          |
+| 4.7867        | 4.67  | 7    | 3.0576          |
+| 2.3257        | 6.0   | 9    | 2.9346          |
+| 3.0372        | 6.67  | 10   | 2.9086          |
+### Framework versions
+- PEFT 0.9.0
+- Transformers 4.38.1
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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