End of training

README.md

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+---
+base_model: llava-hf/llava-1.5-7b-hf
+library_name: peft
+license: llama2
+tags:
+- generated_from_trainer
+model-index:
+- name: llava-1.5_RSI_correct_prompt_32lora
+  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-1.5_RSI_correct_prompt_32lora
+
+This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8361
+
+## 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: 0.00025
+- train_batch_size: 4
+- eval_batch_size: 8
+- 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: cosine
+- lr_scheduler_warmup_steps: 5
+- training_steps: 200
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0109        | 0.1546 | 25   | 1.0655          |
+| 0.8675        | 0.3091 | 50   | 0.9216          |
+| 0.8635        | 0.4637 | 75   | 0.8841          |
+| 0.9245        | 0.6182 | 100  | 0.8596          |
+| 0.8823        | 0.7728 | 125  | 0.8484          |
+| 0.8279        | 0.9274 | 150  | 0.8406          |
+| 0.714         | 1.0819 | 175  | 0.8362          |
+| 0.8471        | 1.2365 | 200  | 0.8361          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1