Dev-SriramB/balagpt-ft2

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runs/Apr22_17-24-42_2fd77c35ae62/events.out.tfevents.1713806686.2fd77c35ae62.471.0 +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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 ---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
+model-index:
+- name: balagpt-ft2
+  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. -->
+# balagpt-ft2
+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: 0.6050
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.3314        | 1.0   | 5    | 1.9312          |
+| 1.7381        | 2.0   | 10   | 1.4899          |
+| 1.3108        | 3.0   | 15   | 1.1581          |
+| 0.9634        | 4.0   | 20   | 0.9015          |
+| 0.718         | 5.0   | 25   | 0.7503          |
+| 0.5738        | 6.0   | 30   | 0.6664          |
+| 0.4784        | 7.0   | 35   | 0.6163          |
+| 0.4266        | 8.0   | 40   | 0.6102          |
+| 0.4016        | 9.0   | 45   | 0.6052          |
+| 0.3864        | 10.0  | 50   | 0.6050          |
+### Framework versions
+- PEFT 0.10.0
+- Transformers 4.39.3
+- Pytorch 2.1.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

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