abhiramag/adyogigpt-ft

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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: llama2
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TheBloke/Llama-2-13B-chat-GPTQ
+model-index:
+- name: adyogigpt-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. -->
+# adyogigpt-ft
+This model is a fine-tuned version of [TheBloke/Llama-2-13B-chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-13B-chat-GPTQ) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6650
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 4.2052        | 0.8   | 2    | 3.3403          |
+| 2.7583        | 2.0   | 5    | 3.2177          |
+| 3.988         | 2.8   | 7    | 3.1077          |
+| 2.548         | 4.0   | 10   | 2.9435          |
+| 3.6494        | 4.8   | 12   | 2.8515          |
+| 2.3538        | 6.0   | 15   | 2.7460          |
+| 3.4301        | 6.8   | 17   | 2.6985          |
+| 2.251         | 8.0   | 20   | 2.6650          |
+### Framework versions
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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