End of training

README.md

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+---
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: liuhaotian/llava-v1.5-13b
+model-index:
+- name: llava_13b_exact_location_name
+  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. -->
+
+# llava_13b_exact_location_name
+
+This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4937
+
+## 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
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8797        | 1.0   | 9    | 1.0175          |
+| 0.22          | 2.0   | 18   | 1.1250          |
+| 0.0773        | 3.0   | 27   | 1.1863          |
+| 0.0264        | 4.0   | 36   | 1.4006          |
+| 0.0141        | 5.0   | 45   | 1.4937          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.37.2
+- Pytorch 2.1.2+cu121
+- Tokenizers 0.15.1

adapter_config.json

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